Requirements Engineer jobs at Intel - 371 jobs

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

You will be the Mid-Career Cybersecurity Engineer for the Cybersecurity team which is responsible for applying an interdisciplinary, collaborative approach to plan, design, develop, validate, and verify Cyber solutions across the lifecycle. What You Will Be Doing As the Mid-Career Cybersecurity Engineer, you will be responsible for developing System Cyber architecture to mitigate current and emerging threats and applying the Risk Management Framework within the engineering System Development Life Cycle. Your responsibilities will include: Developing and implementing Cybersecurity designs in satellite systems Developing space and ground cryptographic architectures Performing Risk Management Framework activities, including threat modeling, vulnerability analysis, and analysis of mitigation solutions Working with the software development team on the integration of secure coding practices to ensure the delivery of secure software solutions Performing threat and vulnerability assessments to identify potential security risks and developing mitigation strategies to address them Coordinating with Cyber and system architects and developers to provide oversight in the development of solutions Conducting cybersecurity test and evaluation of hardware and/or software designs to verify and validate compliance with defined specifications and requirements What's In It For You We are committed to supporting your work-life balance and overall well-being, offering flexible scheduling options. Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Who You Are The ideal candidate will be a collaborative and experienced cybersecurity professional with a strong background in developing and implementing Cybersecurity solutions. You will have excellent communication skills, with the ability to work effectively with cross-functional teams, and a strong understanding of cybersecurity principles and practices. Further Information About This Opportunity MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must possess an active Top Secret clearance with SCI eligibility to start. #LI-CS1 Practical experience with Systems Engineering, Satellite Systems design, Systems Development Life Cycle, or similar experience Practical experience in the application of the Risk Management Framework to aerospace systems Practical experience with cybersecurity analysis, application, and implementation Experience with supply chain risk management Compliance with DoD Cybersecurity Workforce qualification and certification requirements Possess an active TS/SCI security clearance with an investigation within 5 years Experienced in the development of satellite systems and secure communications Understanding of the Systems Development Life Cycle, Cybersecurity threats, vulnerabilities, and mitigations applicable to space and ground systems Motivated self-starter with strong written and verbal communications skills, and the ability to create complex technical reports on analytic findings #LMSpaceCyberEng Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Security Clearance Information This position requires a government security clearance, you must be a US Citizen for consideration. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $101,000 - $178,135. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $116,200 - $201,365. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Adobe is seeking as UNIX Administrator with excellent technical, process and automation skills to be part of High-Performance Cloud Operations Team. As an Infrastructure Administrator, this person is responsible for the daily administration of Linux and Unix servers in a business application environment. This includes general system administration tasks, software and hardware support, system configuration, system monitoring. This person must have excellent Linux/Unix administration experience, with customer relation skills. Candidate should be able to work with business application administrators, helping fix their applications and guide them with standard methodologies. Candidate must be able to express thoughts clearly and capable of working in a team or as a sole contributor. Individual should be self-motivated with very good communication skills. Main point responsible for the overall operability, resiliency, performance, and capacity of owned production services. What you'll do System Administration - This person would be responsible for the day-to-day administration of all Linux based servers. This includes monitoring the trouble ticket queue, system fix, hardware and software system changes, scripting, patching, system performance monitoring, system sizing, system integration, upgrade implementation, and hardware diagnostics. Application support - This person would work with application administrators to help fix and fine-tune applications and also if required guide application administrators in standard processes related to using the underlying UNIX infrastructure. Documentation - Maintain all system documentation. What you need to succeed Unix/Linux System Administration: In-depth experience with Unix/Linux servers (especially RHEL, CentOS, SUSE) for installation, configuration, patching, and solve. Automation & Scripting: Proficiency in scripting (Bash, Python) and automation tools (Ansible, etc.) to streamline deployments and manage configurations. Demonstrable ability to perform UNIX builds such as RHEL Networking Knowledge: Solid grasp of networking (TCP/IP, DNS, SSH, etc.) and system connectivity for effective solve in distributed environments. Working knowledge of Virtual machine management (VmWare, OpenShift) TCP/IP functionality, networking, Remote administration, cloning, migration, etc. Security Best Practices: Expertise in system security - user access controls, OS hardening, patch management, and compliance. Soft Skills: Good communication, teamwork, and problem-solving skills to collaborate across teams and resolve complex issues efficiently. Operational experience with Ansible and Terraform are beneficial. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $104,200 -- $211,850 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $146,300 - $211,850 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge Adobe is seeking as UNIX Administrator with excellent technical, process and automation skills to be part of High-Performance Cloud Operations Team. As an Infrastructure Administrator, this person is responsible for the daily administration of Linux and Unix servers in a business application environment. This includes general system administration tasks, software and hardware support, system configuration, system monitoring. This person must have excellent Linux/Unix administration experience, with customer relation skills. Candidate should be able to work with business application administrators, helping fix their applications and guide them with standard methodologies. Candidate must be able to express thoughts clearly and capable of working in a team or as a sole contributor. Individual should be self-motivated with very good communication skills. Main point responsible for the overall operability, resiliency, performance, and capacity of owned production services. What you'll do * System Administration - This person would be responsible for the day-to-day administration of all Linux based servers. This includes monitoring the trouble ticket queue, system fix, hardware and software system changes, scripting, patching, system performance monitoring, system sizing, system integration, upgrade implementation, and hardware diagnostics. * Application support - This person would work with application administrators to help fix and fine-tune applications and also if required guide application administrators in standard processes related to using the underlying UNIX infrastructure. * Documentation - Maintain all system documentation. What you need to succeed * Unix/Linux System Administration: In-depth experience with Unix/Linux servers (especially RHEL, CentOS, SUSE) for installation, configuration, patching, and solve. * Automation & Scripting: Proficiency in scripting (Bash, Python) and automation tools (Ansible, etc.) to streamline deployments and manage configurations. * Demonstrable ability to perform UNIX builds such as RHEL * Networking Knowledge: Solid grasp of networking (TCP/IP, DNS, SSH, etc.) and system connectivity for effective solve in distributed environments. * Working knowledge of Virtual machine management (VmWare, OpenShift) TCP/IP functionality, networking, Remote administration, cloning, migration, etc. * Security Best Practices: Expertise in system security - user access controls, OS hardening, patch management, and compliance. * Soft Skills: Good communication, teamwork, and problem-solving skills to collaborate across teams and resolve complex issues efficiently. * Operational experience with Ansible and Terraform are beneficial. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $104,200 -- $211,850 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $146,300 - $211,850 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are looking for a passionate and exceptional individual to join the Document Cloud Mobile team, located in San Jose. We're a creative and collaborative group that builds applications used by millions of customers working with billions of documents. The accelerated transition to digital workflows presents tremendous opportunities for our Adobe Scan mobile application. As a developer in this organization, you will have the opportunity to work with other world-class developers to deliver on this opportunity. The Adobe Scan mobile team is part of the larger Adobe Document Cloud, an integrated environment for working with documents across desktop, mobile, and web. A successful candidate will become a key contributor on a team with high technical standards. You will provide creative solutions and have attention to detail, with excellent opportunity for ownership and influence on product, business, and technical direction. What you'll Do Design and develop new features and experiments that drive engagement and new revenue for the Adobe Scan application Collaborate with product management, design, and other developers to build features that enrich the Document Cloud ecosystem. Work as part of a diverse and dynamic team to craft and validate code for mobile applications. Grow with the support of your team and help others on the team grow by providing thoughtful feedback and uplifting those around you. Engage directly with users to assess problems and understand issues they may be experiencing. What you need to succeed BS or MS in Computer Science or equivalent 3-5 years relevant experience in software engineering, including experience developing, shipping, and maintaining mobile applications Able to drive technical decisions while actively considering and incorporating team feedback Proficient with Swift/SwiftUI and the iOS SDK Experience creating and maintaining testable code Dedication to writing clean code and creating re-usable component Passion for learning, sharing of new ideas, and creative thinking to provide innovative solutions to challenges Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $93,200 -- $179,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $123,700 - $179,200 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help design solutions that power some of the world's most advanced computing workloads. NVIDIA is looking for an AI/ML HPC Cluster Engineer to join our MARS team. You will provide technical engagement and problem solving on the management of large-scale HPC systems including the deployment of compute, networking, and storage. You will be working with a team of passionate and skilled engineers across NVIDIA that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in Linux administration, networking, storage, job schedulers, driving improvements, and has the ability to understand researcher computing needs. What you'll be doing: Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization. Directly administer internal research clusters, conduct upgrades, incident response, and reliability improvements. Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions. Maintain heterogeneous AI/ML clusters on-premises and in the cloud. Support our researchers to run their workloads including performance analysis and optimizations Analyze and optimize cluster efficiency, job fragmentation, and GPU waste to meet internal SLA targets. Support root cause analysis and suggest corrective action. Proactively find and fix issues before they occur. Triage and support postmortems for reliability incidents affecting users or infrastructure. Participate in a shared on-call rotation supported by strong automation, clear paths for responding to critical issues, and well-defined incident workflows. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience Minimum 2 years of experience administering multi-node compute infrastructure Background in managing AI/HPC job schedulers like Slurm, K8s, PBS, RTDA, BCM (formerly known as Bright), or LSF Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions Proven understanding of cluster configuration management tools (Ansible, Puppet, Salt, etc.), container technologies (Docker, Singularity, Podman, Shifter, Charliecloud), Python programming, and bash scripting. Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields. Ways to stand out from the crowd: Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking Experience with AI/ML concepts, algorithms, models, and frameworks (PyTorch, Tensorflow) Experience with InfiniBand with IBOP and RDMA Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workloads Applied knowledge in AI/HPC workflows that involve MPI Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you a Front-End Engineer with a passion for developing cutting-edge user interfaces? NVIDIA is seeking a highly motivated individual to join our team and help push the boundaries of what's possible in interactive user experiences. As a Front-End Engineer, you will be responsible for leading the development of user interfaces and web applications that improve and enrich the user experience. We're looking for a creative problem solver with an eye for detail who is comfortable working independently and in a team environment. You should have a solid understanding of modern front-end development practices, an aptitude for learning new technologies, and a passion for delivering high-quality user experiences. What you'll be doing: Crafting and implementing flawless, high-performance, and scalable front-end applications. Create reusable UI components and front-end infrastructure to accelerate product development. Collaborating closely with cross-functional teams to successfully implement new features and improve existing ones. Ensuring code quality through rigorous testing and debugging. Participating in build reviews and offering helpful input to peers. Continuously learning and applying new technologies to improve our products. Helping with developing AI agents. What we need to see: Proven experience with front-end technologies such as ReactJS, HTML, CSS, and modern web tooling. Fluent in responsive design. A minimum of a Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). At least 2 years of relevant experience in front-end development. Strong understanding of web performance optimization techniques. Excellent problem-solving skills and the ability to work effectively in a team environment. Familiarity with RESTful APIs and integrating front-end with backend services. Knowledge of version control tools (e.g., Git) and CI/CD workflows. Experience in building AI Agents Widely regarded as one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a key player in the emerging space of sovereign computing, delivering in high security environments, and providing solutions for confidential computing. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will lead the development of secure DGX Cloud offerings for regulated and sovereign cloud environments (governments, defense). You will define and drive the technical strategy for compliance, controls and monitoring, and global deployment environments. Including defining the technical strategy for concerns related to data residence / data perimeter, network isolation, and one-way transfer strategies. You will work with NVIDIA leadership cross-functionally to build infrastructure that enables customers with the highest security and operational standards-without compromising on performance or developer experience. What You'll Be Doing: * Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in regulated and sovereign environments, including FedRAMP, IL5/6, SOC2, and international equivalents. * Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for regulatory compliance, high security, and overall security (detection, response, mitigation, prevention) into DGX Cloud engineering practices. * Accelerate Global Expansion: Guide the secure delivery of DGX Cloud in international markets with sovereign data requirements and national security constraints. * Engage with External Stakeholders: Collaborate with public sector customers, regulatory agencies, and strategic partners to ensure NVIDIA's solutions meet critically meaningful and jurisdictional needs. * Enablement: Ensure that DGX Cloud, our customers, and partners achieve compliance and successfully operate in regulated environments. * Full Software and System Lifecycle: From ideation, design, and development to ATO to active operations. Lead all technical aspects of readiness, control, monitoring, and continuous improvement of regulated cloud offerings. What We Need to See: * 18+ overall years in technical roles with a focus on cloud infrastructure, platform security, or highly regulated deployment environments. * 8+ years of leadership experience * BS/MS or higher or equivalent experience in security, software engineering, or related engineering fields * Technical proficiency in cloud-native architectures, isolation models, containerization, and secure multi-tenant systems. * Proven success delivering high-impact technically complex solutions that achieve regulatory compliance while maintaining high performance and operational excellence. * Technical Leadership: Ability to synthesize regulatory needs into architecture and design while guiding internal execution across diverse teams. * Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with government partners, and working with high security customers. Ways to Stand Out from the Crowd: * Engineering Enablement: History of creating scalable processes and extensible systems that facilitate compliance and security as foundational capabilities in hardware, infrastructure and IaaS, platforms and applications. * Global Regulatory Expertise: Direct experience in designing, developing, delivering and operating secure cloud products in regulated markets (e.g., EU, Asia-Pacific, isolated and national clouds). * Public Sector Depth: Familiarity with government operational models (ATO), mission workloads, and the evolving security posture of public institutions. NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. With competitive salaries and a generous benefits package (********************** ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are currently seeking a senior-level Engineer with distinguished expertise to join the Dynamo engineering team. As a Distinguished Engineer, you will be a key technical leader, helping drive technology and product direction, provide deep technical expertise and guidance to the team and NVIDIA at large, and have a material impact on the next generation of inference on NVIDIA hardware. At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as easily as possible. NVIDIA Dynamo helps users achieve state-of-the-art performance, using advanced techniques such as disaggregated serving, KV-aware routing, and others. As inference extends across modalities such as image, video and audio, the need for Dynamo only increases. What you will be doing: Contribute to the Dynamo family of open source projects. Serve as a technical expert in AI inferencing, helping to push the frontier of what's possible. Represent Dynamo and NVIDIA with customers, partners and the AI community. Lead critical initiatives around resiliency, performance and scalability for Dynamo and AI inference. Build and drive Dynamo to continue being a production-ready, data center-scale AI inferencing platform. Collaborate with diverse partner teams at NVIDIA across storage, networking, hardware and performance. Keep abreast of the latest advancements in AI/ML infrastructure technologies, frameworks, and effective strategies, and promote their implementation within the company. What we need to see: BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Artificial Intelligence or a related field. 18+ years of Proven experience in systems software engineering Expertise in the AI inference space, such as operating production inference systems at scale, working on inference engines, or similar. Experience serving as a senior technical leader in an organization, with the ability to lead through influence. Proficiency in programming languages such as Rust, Python, and Go, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). Excellent problem-solving skills, showing proficiency in analyzing complex systems, identifying bottlenecks, and implementing scalable solutions. Excellent communication and collaboration skills, demonstrating effectiveness in working with diverse teams and individuals. Ways to stand out from the crowd: Experience in production-grade infrastructure, knowing how to take into account observability, resilience and operations. Enthusiasm for continual learning and keeping abreast of new technologies and effective approaches within the AI/ML systems domain. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is hiring a distinguished engineer to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world! What You Will Be Doing: Play significant role in NVIDIA's effort in contributing to JAX. Design and implement JAX core components and drive peak performance on NVIDIA products. Work with AI applied researchers and leaders to build future-proof models Build tools that will increase the efficiency of teams developing AI-based systems. Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products. What We Need To See: BS in Computer Science or Computer Engineering or related field (or equivalent experience) 18+ years relevant experience C/C++ and Python programming Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.) Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent verbal and written communication skills. Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies. Ways To Stand Out From The Crowd: Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design. Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous. Background with software shipping cycles (dev, deploy, release, CI). Experience building distributed systems and services at large scale. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a key player in the emerging space of sovereign computing, delivering in high security environments, and providing solutions for confidential computing. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will lead the development of secure DGX Cloud offerings for regulated and sovereign cloud environments (governments, defense). You will define and drive the technical strategy for compliance, controls and monitoring, and global deployment environments. Including defining the technical strategy for concerns related to data residence / data perimeter, network isolation, and one-way transfer strategies. You will work with NVIDIA leadership cross-functionally to build infrastructure that enables customers with the highest security and operational standards-without compromising on performance or developer experience. What You'll Be Doing: Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in regulated and sovereign environments, including FedRAMP, IL5/6, SOC2, and international equivalents. Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for regulatory compliance, high security, and overall security (detection, response, mitigation, prevention) into DGX Cloud engineering practices. Accelerate Global Expansion: Guide the secure delivery of DGX Cloud in international markets with sovereign data requirements and national security constraints. Engage with External Stakeholders: Collaborate with public sector customers, regulatory agencies, and strategic partners to ensure NVIDIA's solutions meet critically meaningful and jurisdictional needs. Enablement: Ensure that DGX Cloud, our customers, and partners achieve compliance and successfully operate in regulated environments. Full Software and System Lifecycle: From ideation, design, and development to ATO to active operations. Lead all technical aspects of readiness, control, monitoring, and continuous improvement of regulated cloud offerings. What We Need to See: 18+ overall years in technical roles with a focus on cloud infrastructure, platform security, or highly regulated deployment environments. 8+ years of leadership experience BS/MS or higher or equivalent experience in security, software engineering, or related engineering fields Technical proficiency in cloud-native architectures, isolation models, containerization, and secure multi-tenant systems. Proven success delivering high-impact technically complex solutions that achieve regulatory compliance while maintaining high performance and operational excellence. Technical Leadership: Ability to synthesize regulatory needs into architecture and design while guiding internal execution across diverse teams. Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with government partners, and working with high security customers. Ways to Stand Out from the Crowd: Engineering Enablement: History of creating scalable processes and extensible systems that facilitate compliance and security as foundational capabilities in hardware, infrastructure and IaaS, platforms and applications. Global Regulatory Expertise: Direct experience in designing, developing, delivering and operating secure cloud products in regulated markets (e.g., EU, Asia-Pacific, isolated and national clouds). Public Sector Depth: Familiarity with government operational models (ATO), mission workloads, and the evolving security posture of public institutions. NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. With competitive salaries and a generous benefits package (********************** ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Distinguished Engineer - Accelerated Apache Spark NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing for large scale data processing. Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing. At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. You will serve as a hands-on architect of Nvidia Spark Acceleration Group. You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow. You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more. What you'll be doing: * Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks * Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet * Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters * Present technical solutions at industry conferences and meetups * Collaborate with distributed systems teams to define solutions to distributed processing problems challenges at large scale * Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy * Build, test and optimize CUDA/C++ libraries across different platforms * Build automation and tools that will increase the productivity of teams developing distributed systems * Mentor members of the engineering team What we need to see: * BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) * 17+ years of work or research experience in software development * Prior experience in delivering complex software projects as a lead architect * Outstanding technical skills in designing and implementing high-quality distributed systems * Excellent programming skills in C++, Java, and/or Scala * Highly motivated with strong interpersonal skills and communication skills * 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake * Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark * Able to delve into a new area and quickly come up to speed * Able to work with teams across boundaries and geographies Ways to stand out from the crowd: * Working experience in designing and developing columnar query engines would be a huge plus * Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus * Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. Minimum Qualifications * Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack * Experience with text analysis, scripting, relational database, No SQL databases or similar * Experience shipping multiple products across various platforms * Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience * Willingness to develop, create and evaluate adversarial and potentially offensive content * Experience with data tools, pipelines, and analytics is needed for this role Preferred Qualifications * Experience collaborating with cross-functional teams to design and execute redteaming exercises, develop robust safety protocols, and enhance detection systems for harmful or manipulative language * 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies * Practical knowledge of the relationship between data and machine learning models * Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on * Experience designing and conducting data experiments * Experience with version control, unit tests, and other programming best practices * Professional working experience with additional languages * Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields * Experience being multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development Responsibilities * Build adversarial datasets, data pipelines, and models for ML applications * Directly support product development with rules, prompts, and data patches * Evaluate the safety and quality of models and product experiences and close the feedback loop * Work with project stakeholders * Identify best practices and improve procedures across data systems * Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support * Design and conduct product experiments * Solve complex problems and embrace ambiguity to drive innovative and impactful solutions * Manage and prioritize multiple work streams * Collaborate seamlessly with cross-functional teams About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. Minimum Qualifications * Experience as data scientist, software engineer, computational linguist or in similar role * Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack * Experience with text analysis, scripting, relational database, No SQL databases or similar * Experience shipping multiple products across various platforms * Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience Preferred Qualifications * 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies * Practical knowledge of the relationship between data and machine learning models * Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on * Experience designing and conducting data experiments * Experience with version control, unit tests, and other programming best practices * Fluency in additional languages * Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields Responsibilities * Build datasets, pipelines, and models for ML applications * Directly support product development with rules, prompts, and data patches * Evaluate the quality of models and product experiences and close the feedback loop * Clearly communicate with project stakeholders * Identify best practices and improve procedures across data systems * Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support * Design and conduct product experiments * Solve complex problems and embrace ambiguity to drive innovative and impactful solutions * Manage and prioritize multiple work streams * Collaborate seamlessly with cross-functional teams About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build datasets, pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the quality of models and product experiences and close the feedback loop 4. Clearly communicate with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 16. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 17. Practical knowledge of the relationship between data and machine learning models 18. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 19. Experience designing and conducting data experiments 20. Experience with version control, unit tests, and other programming best practices 21. Fluency in additional languages 22. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields **Public Compensation:** $138,000/year to $189,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build adversarial datasets, data pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the safety and quality of models and product experiences and close the feedback loop 4. Work with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience 16. Willingness to develop, create and evaluate adversarial and potentially offensive content 17. Experience with data tools, pipelines, and analytics is needed for this role **Preferred Qualifications:** Preferred Qualifications: 18. Experience collaborating with cross-functional teams to design and execute redteaming exercises, develop robust safety protocols, and enhance detection systems for harmful or manipulative language 19. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 20. Practical knowledge of the relationship between data and machine learning models 21. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 22. Experience designing and conducting data experiments 23. Experience with version control, unit tests, and other programming best practices 24. Professional working experience with additional languages 25. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields 26. Experience being multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development **Public Compensation:** $107,000/year to $162,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Welcome to the Llama team-where curiosity runs wild, and innovation is our natural habitat. We're a tight-knit group of passionate builders, educators, and AI explorers at AMD, united by a shared mission: to push the boundaries of what's possible with generative AI and make cutting-edge knowledge accessible to developers everywhere. We're looking for a highly technical and creative AI Developer to join our herd. This role is central to scaling our AI education efforts and bringing bold ideas to life through prototypes, content, and community engagement. If you love turning deep technical insights into real-world impact-and you're ready to help shape the future of AI with a team that's as passionate as you are-we'd love to meet you. THE ROLE: We are hiring a highly technical and creative AI Developer to join our advanced AI team at AMD. These roles are critical to scaling our AI education initiatives and accelerating innovation in generative AI. By building a team of autonomous contributors who can produce high-quality content and prototypes independently, we aim to scale our AI education efforts and reach a global developer audience. THE PERSON: Ideal candidates are familiar with implementing the latest AI research, and skilled at translating complex ideas into simple, engaging formats that resonate with a broad developer audience. KEY RESPONSIBILITIES: * Research, prototype, and implement cutting-edge techniques in generative AI, e.g. speculative decoding, reasoning post-training, the latest RL methods, etc. * Translate advanced AI concepts into clear, engaging educational content, including course modules, technical explainers, and keynote-style presentations. * Collaborate with AI engineers, researchers, and educators to ensure technical accuracy and pedagogical clarity. * Track record of designing visually compelling, shareable content with a strong sense of storytelling to maximize reach and impact. * Stay current with the latest research in LLMs, decoding strategies, and model efficiency, and contribute to internal knowledge sharing. PREFERRED EXPERIENCE: * Experience working in cross-functional teams, especially in fast-paced environments. * Contributions to open-source projects, research publications, or internal technical blogs. * Portfolio of engaging content (any format) to point to. * Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. * Demonstrated experience with LLMs/transformer architectures. * Proven ability to simplify and communicate complex technical concepts through engaging content or presentations. * Experience creating content (e.g. course materials, technical tutorials, or keynote talks) that prioritize clarity and simplicity. * Strong visual and UX sensibility, with an eye for content that is both informative and shareable. ACADEMIC CREDENTIALS: * Advanced degree (MS or PhD preferred but not required) in Computer Science, Machine Learning, Applied Mathematics, or a related field. #LI-TC1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

Job Details:Job Description: The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. Who we Are: Intel's Information Security organization supports the unique IT information Security and Compliance requirements for Intel Federal projects that deliver products and/or services to the US Government. As part of this team, you will help us grow our secure solution suite to meet U.S. Government requirements. Intel's Information Security organization is seeking a full-time Identity Engineer experienced with SailPoint IdentityIQ to add to our team. The focus of this job is Identity Governance and Administration (IGA) which is part of the Identity and Access Management (IAM) subject area. Primary duties and responsibilities: Installing, securing, upgrading, and patching the SailPoint IdentityIQ solution. Development and configuration of various SailPoint IIQ modules (e.g. Compliance Manager, Lifecycle Manager, Connectors). Integration of IdentityIQ with Microsoft Active Directory, including design and implementation. Designing and deploying custom forms, approval workflows, connectors in SailPoint which will be used for access requests, access certifications, and provisioning. Automating processes in the SailPoint toolset using PowerShell scripting. Maintaining Infrastructure including Windows servers and SQL Server databases. Consulting with customers to create IdentityIQ role and entitlement models that meet security requirements. Coordinating security assessments to identify security control failures and recommend corrective actions. Assisting with architecting identity security products in secured enclaves, including product testing, validation, and selection. Assisting with design and long-term roadmap planning to satisfy future scalability requirements in secure enclaves. Business travel is required as needed. Ability to thrive in dynamic and fast-paced environments. Excellent communication, leadership, strong troubleshooting, debugging, and analytical skills. #cj Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Minimum Qualifications: US Citizenship required. Ability to obtain and maintain a US Government Security Clearance. Bachelor's degree in Systems Engineering, Cyber Security Engineering, Computer Engineering, Computer Science, Information Systems, or similar discipline and 4+ years of work-related experience. 1+ years' experience in designing and implementing custom SailPoint solutions. 1+ years' experience in implementing and supporting SailPoint IIQ modules like Compliance Manager, Lifecycle Manager, Integration modules, in both production and nonproduction environments. Preferred Qualifications: Active US Government Top Secret (TS) Security Clearance with the ability to obtain and maintain SCI access. Experience with DoD security implementation (e.g. STIG) and security tools for managing the environment. Experience with business continuity and disaster recovery. Experience configuring Roles and Entitlements in SailPoint IdentityIQ. Experience developing, implementing or supporting APIs (RESTful services preferred) Experience integrating SailPoint IdentityIQ with Active Directory. Experience with scripting in the Windows environment, preferably in PowerShell. Experience with Microsoft SQL Server 2019/2022. Experience with Web Tech: HTML, JavaScript, JSP, XML, XSL, and DTD. Job Type:Experienced HireShift:Shift 1 (United States of America) Primary Location: US, California, Santa ClaraAdditional Locations:US, Oregon, HillsboroBusiness group:Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $105,300.00-175,210.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for an adaptive, self-motivated formal verification engineer to join our growing team. As a key contributor, you will be part of a highly collaborative team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. Specifically, the Formal Verification Team is an integral part of AMD's Cores Development Team, responsible for the development of the next generation processor cores. This team embraces innovation to improve time to market while beating performance, power and quality expectations. THE PERSON: You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES: Apply Advanced Formal Verification Techniques to AMDs cutting edge design for achieving Full Proofs. Maintain the best-in-class formal verification infrastructure to improve formal verification productivity. Develop technical relationship with broader AMD Design community and peers. Drive cross-department innovation and collaboration inside AMD. Be part of the R&D group for emerging formal verification domains like security, safety, low power, architecture level formal verification, etc. PREFERRED EXPERIENCE: ASIC design, verification, or related work experience in Formal Verification. Verification skills: Formal verification, Assertion based verification, FPV and/or DPV. Complexity Analysis, Design Abstraction & Formal Coverage. Design debug, Deep bug hunting. Formal test planning, Formal tools - Jasper and/or VC-formal. System Verilog, Verilog or VHDL, Scripting (TCL/Python) skills required. Design knowledge either or all domains of CPU, GPU, Bus/Noc/Interconnect, Memory Controllers, Cache preferred. ACADEMIC CREDENTIALS: BS in Computer Engineering, Computer Science, Electrical Engineering or other related fields with extensive work experience, and/or MS / PhD with some work experience. LOCATION: Santa Clara, CA #LI-MF2 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.