PHD Researcher jobs at USRA - 93 jobs

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $135,768 Annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Job Description We have an opening for a Design Physics Division - Postdoctoral Researcher. We invite PhD graduates with a focus on computational physics (with an emphasis on radiation transport and radiation hydrodynamics) to apply for a Postdoctoral Researcher position. The successful candidate will join a dynamic team researching differentiable multiphysics codes utilizing a combination of adjoint techniques and automatic differentiation. Key research thrusts will include developing and implementing algorithms for efficient and accurate computation of gradients for radiation transport as well as radiation-hydrodynamic coupling. The focus of this postdoctoral appointment is computational; however, the candidate will be integrated with a broader community including design and experimental scientists. In addition to your research projects, LLNL allows you to charge up to 25% of your time to an account that is focused on your professional development as a scientist. For example, you could attend additional lectures, learn more about the Laboratory, finish writing up papers from your graduate work, or learn about new avenues of research, while collaborating with a broad spectrum of scientists across disciplines both within LLNL and at external partner institutions. This position is in the Design Physics Division within the Strategic Deterrence (SD) Directorate. This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options, may vary based on the needs of the team and the organization. In this role, you will Develop new tools, algorithms, and/or design new experiments to further our scientific understanding. Conduct research on the use of massively parallel computer platforms to solve scientific challenges. Publish research results in peer-reviewed scientific or technical journals, and present results at external conferences, seminars and/or technical meetings. Perform other duties as assigned. Qualifications Ability to obtain and maintain a U.S. DOE Q-level security which requires U.S. citizenship. PhD in a related physical science, engineering or applied mathematics discipline. Experience in high-quality research in a relevant field, demonstrating both detailed understanding and a broad perspective. Demonstrated significant accomplishments in numerical simulations and modeling, and/or the application of theoretical techniques. Experience developing innovative solutions to scientific and technical problems. Demonstrated proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information. Qualifications We Desire Background in computational physics, mathematics, or engineering with a focus on radiation transport or multiphysics. Familiarity with adjoint theory or related techniques in automatic differentiation Interest and enthusiasm in understanding the broader mission at LLNL and in supporting it through delivery of scientific software capabilities. Please include a personalized cover letter with your application, highlighting your qualifications and why you're interested in this position. Additional Information #LI-Hybrid Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2025 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit ***************************************** Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. Pre-Placement Medical Exam A job related pre-placement medical examination may be required. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $135,768 Annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Job Description We have an opening for a Design Physics Division - Postdoctoral Researcher. We invite PhD graduates with a focus on computational physics (with an emphasis on radiation transport and radiation hydrodynamics) to apply for a Postdoctoral Researcher position. The successful candidate will join a dynamic team researching differentiable multiphysics codes utilizing a combination of adjoint techniques and automatic differentiation. Key research thrusts will include developing and implementing algorithms for efficient and accurate computation of gradients for radiation transport as well as radiation-hydrodynamic coupling. The focus of this postdoctoral appointment is computational; however, the candidate will be integrated with a broader community including design and experimental scientists. In addition to your research projects, LLNL allows you to charge up to 25% of your time to an account that is focused on your professional development as a scientist. For example, you could attend additional lectures, learn more about the Laboratory, finish writing up papers from your graduate work, or learn about new avenues of research, while collaborating with a broad spectrum of scientists across disciplines both within LLNL and at external partner institutions. This position is in the Design Physics Division within the Strategic Deterrence (SD) Directorate. This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options, may vary based on the needs of the team and the organization. In this role, you will * Develop new tools, algorithms, and/or design new experiments to further our scientific understanding. * Conduct research on the use of massively parallel computer platforms to solve scientific challenges. * Publish research results in peer-reviewed scientific or technical journals, and present results at external conferences, seminars and/or technical meetings. * Perform other duties as assigned. Qualifications * Ability to obtain and maintain a U.S. DOE Q-level security which requires U.S. citizenship. * PhD in a related physical science, engineering or applied mathematics discipline. * Experience in high-quality research in a relevant field, demonstrating both detailed understanding and a broad perspective. * Demonstrated significant accomplishments in numerical simulations and modeling, and/or the application of theoretical techniques. * Experience developing innovative solutions to scientific and technical problems. * Demonstrated proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information. Qualifications We Desire * Background in computational physics, mathematics, or engineering with a focus on radiation transport or multiphysics. * Familiarity with adjoint theory or related techniques in automatic differentiation * Interest and enthusiasm in understanding the broader mission at LLNL and in supporting it through delivery of scientific software capabilities. Please include a personalized cover letter with your application, highlighting your qualifications and why you're interested in this position. Additional Information #LI-Hybrid Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? * Included in 2025 Best Places to Work by Glassdoor! * Flexible Benefits Package * 401(k) * Relocation Assistance * Education Reimbursement Program * Flexible schedules (*depending on project needs) * Our values - visit ***************************************** Security Clearance This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. Pre-Placement Medical Exam A job related pre-placement medical examination may be required. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here. Videos To Watch

**What You Will Do** The Applied Math and Plasma Physics Group (T-5) in the Theoretical Division at Los Alamos National Laboratory seeks 1-2 outstanding postdoctoral researchers to advance physics-consistent operator networks for hydrodynamics and inertial confinement fusion (ICF) applications. The work will span theory, algorithms, and scalable implementations on cutting-edge HPC systems. As a postdoc you will: + Design, analyze, and implement operator neural networks (e.g., DeepONets, Fourier/Neural Operators, graph/mesh operators) that respect conservation laws, symmetries, and stability constraints relevant to compressible hydro, radiation-hydrodynamics, and MHD. + Develop mathematical foundations for operator learning: approximation/error bounds, well-posedness, stability, and generalization for PDE-to-PDE maps; contribute proofs and rigorous analyses. + Integrate physics into learning (e.g., variational/energy principles, constrained training, differentiable solvers, PINO/PINN-style residuals) and build robust surrogates for stiff, multi-scale flows. + Run large-scale computational experiments on CPU/GPU clusters; compare against high-fidelity solvers and community benchmarks. + Collaborate across math, CS, and plasma physics, publish in leading journals, present at conferences, and engage with external research partners. **What You Need** **Minimum Job Requirements:** **Minimum Job Requirements** + Education: Ph.D. (earned within the last 5 years) in Applied Mathematics, Mathematics, or a closely related field (e.g., CS, Statistics, Physics, Engineering). + Mathematical depth: Demonstrated strength in functional analysis/operator theory, numerical PDEs, approximation theory, and/or stochastic processes; ability to craft rigorous arguments (stability, error estimates, convergence). + Scientific ML: Research experience in neural operators / scientific machine learning (operator learning, PINNs/PINOs, PDE-constrained learning, model reduction) with a strong publication record. + Programming: Proficiency in Python and one or more of PyTorch/JAX/TensorFlow; working knowledge of scientific computing (vectorization, profiling, testing). + Communication: Clear written and oral communication, as shown through publications and the cover letter. Desired Qualifications + Experience with hydrodynamics/ICF/HEDP physics (e.g., shocks, turbulence, EOS, radiation transport, MHD) or with high-order/structure-preserving numerical methods. + HPC skills (MPI, OpenMP, CUDA, GPU acceleration), containers, CI, and collaborative software development. + Contributions to open-source ML/scientific software; code reviews; reproducible workflows. + Background in UQ/data assimilation/Bayesian inference, multi-fidelity or active learning for PDE models. + Evidence of competitive excellence (e.g., research awards, notable competitions) and effective teamwork. **Education/Experience** A Ph.D. in Applied Mathematics, Mathematics, Computer Science, Statistics, Physics, or a closely related field, earned within the last 5 years. **Work Location** On-site in Los Alamos, NM. **Note to Applicants** For questions, contact Marc Klasky (****************). Include in your application: + CV + Cover letter describing research interests, relevant math/ML background, and career goals + Contact information for two references + Please submit materials via the LANL Jobs website. **Work Location:** The work location for this position has the potential for remote work. Remote work is defined as working offsite that is greater than 2 hours of the Laboratory location. Reporting onsite may be periodically necessary. All work locations are at the discretion of management. **Note to Applicants:** Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory. **Where You Will Work** Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: § PPO or High Deductible medical insurance with the same large nationwide network § Dental and vision insurance § Free basic life and disability insurance § Paid childbirth and parental leave § Award-winning 401(k) (6% matching plus 3.5% annually) § Learning opportunities and tuition assistance § Flexible schedules and time off (PTO and holidays) § Onsite gyms and wellness programs § Extensive relocation packages (outside a 50 mile radius) **Additional Details** **Directive 206.2** - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (******************************************************************** . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. **No Clearance:** Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. **New-Employment Drug Test:** The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. **Internal Applicants:** Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (*********************************************** for applicant eligibility requirements. **Equal Opportunity:** Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to ****************** or call ************** opt. 3.

The application window is expected to close on: 03/02/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. Develop and train AI reasoning models for security applications. Develop agentic models with the aim of automating security testing. Author blog posts, white papers, or research papers related to emerging threats in AI security. Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience Experience in AI, machine learning, and deep learning technologies Experience with generic programming languages such as Python Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models Experience reading academic papers on AI/ML and security and translating to prototype systems Preferred Qualifications: Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks Experience with reinforcement learning and its application in foundation models. Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 03/02/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will * Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. * Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. * Develop and train AI reasoning models for security applications. * Develop agentic models with the aim of automating security testing. * Author blog posts, white papers, or research papers related to emerging threats in AI security. * Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: * A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience * Experience in AI, machine learning, and deep learning technologies * Experience with generic programming languages such as Python * Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models * Experience reading academic papers on AI/ML and security and translating to prototype systems Preferred Qualifications: * Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks * Experience with reinforcement learning and its application in foundation models. * Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action * Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies * Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 03/02/2026 **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. **Meet the Team** Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. **About Robust Intelligence** Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. **Your Impact** Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. **As an AI researcher, you will** + Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. + Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. + Develop and train AI reasoning models for security applications. + Develop agentic models with the aim of automating security testing. + Author blog posts, white papers, or research papers related to emerging threats in AI security. + Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. **Minimum Qualifications:** + A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience + Experience in AI, machine learning, and deep learning technologies + Experience with generic programming languages such as Python + Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models + Experience reading academic papers on AI/ML and security and translating to prototype systems **Preferred Qualifications:** + Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks + Experience with reinforcement learning and its application in foundation models. + Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action + Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies + Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on: 03/02/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will * Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. * Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. * Develop and train AI reasoning models for security applications. * Develop agentic models with the aim of automating security testing. * Author blog posts, white papers, or research papers related to emerging threats in AI security. * Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: * A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience * Experience in AI, machine learning, and deep learning technologies * Experience with generic programming languages such as Python * Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models * Experience reading academic papers on AI/ML and security and translating to prototype systems Preferred Qualifications: * Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks * Experience with reinforcement learning and its application in foundation models. * Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action * Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies * Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 03/02/2026 **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. **Meet the Team** Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. **About Robust Intelligence** Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. **Your Impact** Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. **As an AI researcher, you will** + Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. + Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. + Develop and train AI reasoning models for security applications. + Develop agentic models with the aim of automating security testing. + Author blog posts, white papers, or research papers related to emerging threats in AI security. + Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. **Minimum Qualifications:** + A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience + Experience in AI, machine learning, and deep learning technologies + Experience with generic programming languages such as Python + Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models + Experience reading academic papers on AI/ML and security and translating to prototype systems **Preferred Qualifications:** + Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks + Experience with reinforcement learning and its application in foundation models. + Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action + Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies + Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

About Sandia: Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* *These benefits vary by job classification. What Your Job Will Be Like: We are seeking Postdoctoral Appointee candidates with a strong publication record or relevant experience to join Sandia s quantum computing theory group and engage in world-leading research in quantum information science. Our team focuses on modeling, characterization, calibration, benchmarking, and simulation of quantum computing hardware, as well as developing and characterizing algorithms and applications for quantum information processors. As part of Sandia s broader Quantum Information Science (QIS) program, you will have opportunities to collaborate with researchers across the industry. Postdocs in our group work at the forefront of practical and theoretical quantum computing research, publish widely, and have the freedom to identify compelling research problems, take leadership, and solve them. On any given day, you may: + Work with a team developing new methods to assess and improve the performance of quantum computers and/or quantum algorithms + Interact and collaborate with a diverse set of experimentalists and other theorists at Sandia, academic institutions, other national labs, and private companies + Work with theorists and experimentalists from the Quantum New Mexico Institute (QNM-I), the University of New Mexico (UNM), or the Quantum Demonstration Facility (QDF) + Take ownership of technical projects, publish outstanding new developments in peer-reviewed scientific journals, and present your work at conferences The selected applicant can work a combination of onsite and offsite and must live within a reasonable distance for commuting to the Albuquerque location when requested. Relocation will be provided for those that qualify. Qualifications We Require: + Possess, or are pursuing, a PhD in Physics, Computer Science, Electrical Engineering, Mathematics, Chemistry, or a related science or engineering field, PhD must be conferred within five years prior to employment + Record of research as demonstrated by publications in peer-reviewed journals, competitive conference proceedings, or high-impact program deliverables + Able to acquire and maintain a DOE Q-level security clearance Qualifications We Desire: + Demonstrated research experience in quantum computation and information science (including quantum algorithms, characterization of quantum hardware, design and modeling of qubits, quantum error correction, etc.) + Experience using quantum computing testbeds and/or collaboration with experimental efforts developing quantum technologies + Demonstrated experience developing or analyzing the performance of quantum architectures and quantum algorithms for fault-tolerant quantum computing + Proficiency in scientific programming, such as developing and running complex science and engineering codes on massively parallel computing clusters + Interest in impacting applications and customers in support of DOE missions About Our Team: The Quantum Computer Science Department (1425) pursues foundational research and development to enable creation of quantum information processors (QIPs) that will provide exponential speed-ups for selected computational problems. We are a team of computer- and computational-physicists whose expertise and pursuits include: computational modeling of physical qubits; theory and design of fault-tolerant QIPs; instruction set architectures for QIPs, evaluation of as-built qubit performance and noise characterization; logical qubit design for real-world noise; performance assessment of many-qubit QIPs; quantum algorithm development; the physics of information; and development of methods and computational simulation capabilities for all of the above pursuits. The Department closely collaborates with researchers in allied areas working on similar pursuits; closely collaborates with experimentalist groups at Sandia working on developing practical qubits in various technologies; has strong working relationships with the U.S. Department of Energy (DOE) offices and other U.S. government agencies interested in quantum information science (QIS); and collaborates, broadly, with academic and commercial colleagues in the external QIS research community. Through 1425, you will also have the opportunity to join the The QPL and QuAAC groups, which are multidisciplinary research and development groups within Sandia. The QPL develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. It also works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms. The QuAAC works on all aspects of quantum algorithms, including the design and analysis of new algorithms, establishing conditions for quantum advantage, and resource estimates for problems in science and engineering. It also collaborates broadly with scientists in academia, industry, and other national labs. Both groups are geographically dispersed but maintain a strong culture of collaboration and are committed to advancing the field of quantum computing. The QPL and QuAAC teams publish their research in scientific journals including Nature, Nature Physics, Nature Communications, Physical Review X, PRX Quantum, and Physical Review Letters. Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance: Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs: If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Position Information: This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance. Job ID: 696105 Job Family: 92 Regular/Temporary Position: T Full/Part-Time Status: F

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. What Your Job Will Be Like We are seeking Postdoctoral Appointee candidates with a strong publication record or relevant experience to join Sandia s quantum computing theory group and engage in world-leading research in quantum information science. Our team focuses on modeling, characterization, calibration, benchmarking, and simulation of quantum computing hardware, as well as developing and characterizing algorithms and applications for quantum information processors. As part of Sandia s broader Quantum Information Science (QIS) program, you will have opportunities to collaborate with researchers across the industry. Postdocs in our group work at the forefront of practical and theoretical quantum computing research, publish widely, and have the freedom to identify compelling research problems, take leadership, and solve them. On any given day, you may: * Work with a team developing new methods to assess and improve the performance of quantum computers and/or quantum algorithms * Interact and collaborate with a diverse set of experimentalists and other theorists at Sandia, academic institutions, other national labs, and private companies * Work with theorists and experimentalists from the Quantum New Mexico Institute (QNM-I), the University of New Mexico (UNM), or the Quantum Demonstration Facility (QDF) * Take ownership of technical projects, publish outstanding new developments in peer-reviewed scientific journals, and present your work at conferences The selected applicant can work a combination of onsite and offsite and must live within a reasonable distance for commuting to the Albuquerque location when requested. Relocation will be provided for those that qualify. Qualifications We Require * Possess, or are pursuing, a PhD in Physics, Computer Science, Electrical Engineering, Mathematics, Chemistry, or a related science or engineering field, PhD must be conferred within five years prior to employment * Record of research as demonstrated by publications in peer-reviewed journals, competitive conference proceedings, or high-impact program deliverables * Able to acquire and maintain a DOE Q-level security clearance Qualifications We Desire * Demonstrated research experience in quantum computation and information science (including quantum algorithms, characterization of quantum hardware, design and modeling of qubits, quantum error correction, etc.) * Experience using quantum computing testbeds and/or collaboration with experimental efforts developing quantum technologies * Demonstrated experience developing or analyzing the performance of quantum architectures and quantum algorithms for fault-tolerant quantum computing * Proficiency in scientific programming, such as developing and running complex science and engineering codes on massively parallel computing clusters * Interest in impacting applications and customers in support of DOE missions About Our Team The Quantum Computer Science Department (1425) pursues foundational research and development to enable creation of quantum information processors (QIPs) that will provide exponential speed-ups for selected computational problems. We are a team of computer- and computational-physicists whose expertise and pursuits include: computational modeling of physical qubits; theory and design of fault-tolerant QIPs; instruction set architectures for QIPs, evaluation of as-built qubit performance and noise characterization; logical qubit design for real-world noise; performance assessment of many-qubit QIPs; quantum algorithm development; the physics of information; and development of methods and computational simulation capabilities for all of the above pursuits. The Department closely collaborates with researchers in allied areas working on similar pursuits; closely collaborates with experimentalist groups at Sandia working on developing practical qubits in various technologies; has strong working relationships with the U.S. Department of Energy (DOE) offices and other U.S. government agencies interested in quantum information science (QIS); and collaborates, broadly, with academic and commercial colleagues in the external QIS research community. Through 1425, you will also have the opportunity to join the The QPL and QuAAC groups, which are multidisciplinary research and development groups within Sandia. The QPL develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. It also works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms. The QuAAC works on all aspects of quantum algorithms, including the design and analysis of new algorithms, establishing conditions for quantum advantage, and resource estimates for problems in science and engineering. It also collaborates broadly with scientists in academia, industry, and other national labs. Both groups are geographically dispersed but maintain a strong culture of collaboration and are committed to advancing the field of quantum computing. The QPL and QuAAC teams publish their research in scientific journals including Nature, Nature Physics, Nature Communications, Physical Review X, PRX Quantum, and Physical Review Letters. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Position Information This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance. Apply for Job * Careers * Sign In * New User

The application window is expected to close on: 03/02/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will * Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. * Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. * Develop and train AI reasoning models for security applications. * Develop agentic models with the aim of automating security testing. * Author blog posts, white papers, or research papers related to emerging threats in AI security. * Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: * A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience * Experience in AI, machine learning, and deep learning technologies * Experience with generic programming languages such as Python * Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models * Experience reading academic papers on AI/ML and security and translating to prototype systems Preferred Qualifications: * Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks * Experience with reinforcement learning and its application in foundation models. * Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action * Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies * Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The application window is expected to close on: 03/02/2026 **Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received** . The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. **Meet the Team** Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. **About Robust Intelligence** Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. **Your Impact** Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. **As an AI researcher, you will** + Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. + Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. + Develop and train AI reasoning models for security applications. + Develop agentic models with the aim of automating security testing. + Author blog posts, white papers, or research papers related to emerging threats in AI security. + Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. **Minimum Qualifications:** + A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience + Experience in AI, machine learning, and deep learning technologies + Experience with generic programming languages such as Python + Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models + Experience reading academic papers on AI/ML and security and translating to prototype systems **Preferred Qualifications:** + Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks + Experience with reinforcement learning and its application in foundation models. + Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action + Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies + Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on: 03/02/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is expected to close on 2/1/2026. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. A strong preference will be given to candidates based in the Bay Area Metro region; however, qualified candidates in other U.S. locations may also be considered for remote work. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a dedicated team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety. Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. Develop and train AI reasoning models for security applications. Develop agentic models with the aim of automating security testing. Author blog posts, white papers, or research papers related to emerging threats in AI security. Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: A Ph.D in Computer Science or related field with 3 + years of experience, a Master's with 7 + years of related experience, or Bachelor's with 10 + years of related experience Experience in AI, machine learning, and deep learning technologies Experience with generic programming languages such as Python Experience in developing AI infrastructure including model training, fine tuning, evaluating and productizing cutting-edge AI models Experience reading academic papers on AI/ML and security and translating to prototype systems Preferred Qualifications: Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, and jailbreaks Experience with reinforcement learning and its application in foundation models. Experience with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action Experience with traditional ML frameworks like PyTorch, TensorFlow and ability to use the latest GenAI technologies Experience and strong professional network to attract top AI engineering talent and empowering teams to deliver their best Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $250,200.00 to $325,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $250,200.00 - $373,700.00 Non-Metro New York state & Washington state: $228,400.00 - $332,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

AI Trainer - Research Scientists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and data analysis A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A Paypal account to receive payment from our clients* Why Prolific is a great platform to join as a Domain Expert participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and the best of humanity. *Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

What you can expect Zoom's AI Incubation team is seeking a Research Scientist to contribute to the next wave of LLM post-training, reinforcement learning, and federated AI innovation. You will join a world-class group of PhDs and applied scientists focused on pushing the boundaries of model alignment, reasoning, and agentic intelligence. As a Research Scientist, you will advance Zoom's applied AI research, working with cutting-edge LLM post-training, RLHF/DPO/RLAIF, federated AI, and multimodal intelligence to deliver breakthroughs that redefine human-AI collaboration. You will participate in incubation efforts that transform bold research ideas into scalable, production-ready systems powering the next generation of Zoom AI Companion. About the Team The AI Incubation team is a high-impact applied research group that has built one of the best-performing federated AI systems in the industry. The team operates at the frontier of LLM post-training, reinforcement learning for agentic AI, multimodal understanding, federated AI, and AI evaluation. Zoom's federated AI architecture-spanning Anthropic, OpenAI, and Google models-enables privacy-preserving, edge-to-cloud learning that adapts to user context while maintaining enterprise-grade governance. The Incubation team plays a central role in advancing this federated AI leadership, developing new methods for distributed model optimization, personalized prefix learning, and secure collaboration. Responsibilities Conducting frontier research in LLM post-training, reinforcement learning, and federated AI to achieve state-of-the-art reasoning, personalization, and reliability. Developing and implementing evaluation and benchmarking frameworks for model performance, safety, and user experience across distributed environments. Contributing to model architectures, fine-tuning strategies, and reinforcement learning pipelines across Zoom's federated AI ecosystem. Partnering with product and infra teams to translate research prototypes into scalable, production-grade AI systems that leverage edge and cloud collaboration. Participating in a culture of scientific rigor, creativity, and rapid experimentation. Exploring emerging AI paradigms-from agentic reasoning and multimodal fusion to self-improving federated systems-to continuously advance Zoom's AI frontier. What we're looking for Have a PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Demonstrate proven expertise in LLM post-training, RLHF/DPO/PPO, federated learning, or reinforcement learning for reasoning and alignment. Have deep understanding of large-scale distributed training systems and experience with PyTorch, Transformers, DeepSpeed, or CUDA. Hold a publication or open-source record demonstrating innovation in LLM optimization, federated AI, or agentic intelligence. Demonstrate passion for applied AI research that bridges scientific discovery and real-world impact. Have experience implementing AI research concepts and translating them into practical applications. Salary Range or On Target Earnings: Minimum: $206,600.00 Maximum: $451,800.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 02/02/26 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description Duration: 2 Months General Description: Works independently. Analyzes technical data to create proof of claim and proof of demo documentation. Places consumer studies including product procurement and clearance, research questionnaire development, data collection and analysis/reporting. Additional Information Experience in Baby Care preferred.

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description Duration: 2 Months General Description: Works independently. Analyzes technical data to create proof of claim and proof of demo documentation. Places consumer studies including product procurement and clearance, research questionnaire development, data collection and analysis/reporting. Additional Information Experience in Baby Care preferred.

Compensation Range: Hourly: $75.00 - $75.00 The Part-Time Researcher for Lab Development will support a research grant. This position will play a key role in developing hands-on learning experiences using the Haiku Forge tool. This position offers a unique blend of technical skill development and educational content creation, to contribute significantly to the advancement of cybersecurity training methods. The primary responsibilities will include supporting the development of innovative cybersecurity labs and creating comprehensive training materials for the Haiku Forge tool. This position is 100% grant funded. Essential Functions: Support the development of lab content mapped to various certifications like CompTIA CASP+ and CompTIA Network+. Collaborate with a learning experience designer to create lesson plans, video content, and other content for the creation of lab content in the Haiku Forge Platform. Submit work summaries and reports based on your work and research. Collaborate with fellow researchers, faculty, and other stakeholders to ensure the success of the research projects. Participate in regular team meetings and provide updates on progress. Supervisory Responsibilities: N/A Requirements: Education & Experience: Bachelor's degree in a technical area required. Experience participating in online cybersecurity labs required. Experience creating cybersecurity labs required. CompTIA Security+ Certification preferred. Experience using the Haiku Cyber Range preferred. Ability to work up to 20 hours per week Monday-Friday. Must have a personal computer and the ability to facilitate online collaboration and communications remotely. Must reside in the United States and be a U.S. citizen. Competencies/Technical/Functional Skills: Knowledge of DevOps. Knowledge of JSON. Knowledge of CompTIA Certifications. Participate actively as a team member, contributing fully to the team's efforts and the organization's success. Strong organizational skills: Ability to manage multiple tasks and deadlines efficiently. Ability to write technical content. Location: Remote Travel: None #LI-NK1 #LI-Remote Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. The minimum salary will be offered based on the minimum exemption threshold based on state of residency. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For Part-time benefits, please click here. National University is committed to maintaining a high-quality, diverse workforce representative of the populations we serve. National University employs more than 5,000 faculty and staff and serves over 41,000 students. We are united in our mission to meet the global education demands of the 21st Century and are dedicated to creating a supportive academic and work environment that allows students, faculty and staff to develop their interests and talents while experiencing a sense of community and a commitment to diversity. With programs available both online and at our many campus locations, National University is a leader in creating innovative solutions to education and meeting the needs of our diverse student population, including adult learners and working professionals. National University offers an opportunity to work in an innovative environment that supports diversity. National University (NU) is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.

Part Time Contract Role | Products Researcher in Mason OH 4 months contract with possible extension 20-25 hours/week Floss PR Research Specialists to focus on consumer understanding and method development for floss products. In this role you will translate consumer insights into consumer relevant methods that can be used to test current and new products with a goal of measuring product performance across a number of measures. You will also be responsible for product score carding, demo development and, to a lesser extent, creating and executing small-scale consumer studies if needed to validate methods. Important Responsibilities: In this position you will, create new methods that are consumer relevant and focused on the most critical product parameters for both manual floss and floss picks. You will test new technologies and score card performance to inform both product development and method refinement. You will refine methods in partnership with PR, Sensory, Analytical, and Process & Formulation. The ideal candidate will be an analytical thinker, capable of bridging the gap between consumer insights and technical method development in the floss product category. This role is essential for driving innovation, enhancing user satisfaction, and ensuring that our products meet the highest standards of quality and effectiveness. Desired skills include: Skills to Have and/or Expect to Learn: Method Development and Innovation -Develop and optimize methods for floss that are grounded in consumer insights and focuses first on performance (cleaning, comfort), usability (dispensing, feel in hand, etc.) and other benefits of interest (i.E. Flavor). Candidate should have some experience in method development. Support technology development by independently conducting technical testing and when needed, create minimum viable prototypes (MVPs) to vet hypothesis. This work involves using creativity and problem-solving skills to assess product performance, facilitating rapid iterative testing, and evaluating key product attributes to determine the effectiveness of technologies, all while producing reliable and reproducible results that meet project objectives. Consumer Insights -Ability to analyze consumer behaviors and identify drivers that should be included in methods. Ability to design and execute qualitative and/or quantitative tests to gather the needed insights to inform product development. Ability to analyze and interpret data using statistics. Demo Development -Experience creating engaging demos that effectively communicate product benefits and features to stakeholders, consumers, etc. Is not a requirement but will be learned on the job if the candidate does not yet have this skill. Timing: Next 1-3 months ideal, includes timing for identification and transition. The team is currently stretched across all initiative and capability with no capacity for this type of effort. Limited to no travel expected. Qualifications: Researcher Level 2 or Level 3, Part time 20-25 hours week. Strong analytical skills Demonstrated ability to manage priorities and deliver results on time Collaborate effectively with team Growth mindset with the ability to learn quickly and develop skills needed