Engineering internship jobs in Walnut Creek, CA

A leading patent consulting firm in San Francisco is seeking a Patent Agent or Associate. The role requires a degree in engineering or related fields, registration to practice before the USPTO, and a law degree for attorneys. Candidates should be confident in discussing technical details and comfortable engaging with prominent tech companies. This position offers opportunities across various fields, including AI and clean energy. #J-18808-Ljbffr

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. **Your Impact** Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. + Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. + Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. + Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. **Preferred Qualifications** + Experience with inference engines such as vLLM, Triton, or TorchServe. + Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. + Familiarity with agent frameworks and cloud-native platforms. + Experience with cybersecurity principles and Python programming, including common AI libraries. + Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 **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:** 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: Evidence in delivering high-impact projects either in academia or industry Prior experience designing and building Machine Learning models Deep understanding of machine learning concepts and fundamentals Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders Excellent communication and collaboration skills Strong coding skills, with a focus on clean, efficient, and scalable code development Preferred Qualifications: Experience working with time series or unstructured data Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

The San Francisco Municipal Transportation Agency (SFMTA) connects San Franciscans with their communities to enhance the economy, environment and, ultimately, the quality of life in the city. As an agency within the City and County of San Francisco, the SFMTA is responsible for managing the city's transportation network. The agency has more than 6,000 employees who are responsible for the management of all ground and some underground transportation in the city. The SFMTA has oversight over public transit, as well as bicycling, paratransit, parking and curb management, street operations, walking, and taxis. Please visit the “About Us” section of our website at ********************************* to learn more about the department's core values, Racial Equity Initiative, leadership team, history, budget and more. Job Description Recruitment ID: TEX-5381-161860 Appointment Type: Temporary Exempt, Full Time appointment - This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer. Application Opening: November 20, 2025 Application Filling Deadline: January 16, 2026 Annual Salary: $39.3875 Per Hour Position Description: The Engineering Level 2 Internship is within the SFMTA Planning and Engineering Internship Program. There are 4 total internship postings: 2 for Planning and 2 for Engineering, each posting with a unique set of multiple positions. Applicants will only be considered for the positions associated with the internship posting(s) they apply for. Therefore, if you meet the minimum qualifications for multiple internship postings and would like to be considered for multiple sets of positions, you must apply to each posting separately. Read this job ad in its entirety before applying. This job ad contains important information on timeline and terms of applying, including transcript, resume and cover letter requirements. If after reading you have additional questions about the application process, please contact *********************. Filing Deadline: January 16, 2026 Invitations to interview will be sent tentatively between February 9 - 13, 2026 Interviews will be conducted tentatively between February 23 - March 6, 2026 Selected candidates will be notified tentatively between March 16 - 30, 2026 The internship program offers seminars and field trips for interns to learn about various parts of the Agency. Attendance is mandatory at these events. Interns will also participate in PechaKucha presentations at the end of the summer. Work Schedule: We work in a hybrid and traditional environment, and you may be expected to work onsite in the office up to 5 days per week. In-office workdays are determined by the nature of the work and scheduled by your supervisor. Per the City's Telecommuting Policy, interns must be based in the Bay Area for the extent of their internship. The internship follows a 40-hour work-week, generally between the hours of 8 AM and 5 PM, Monday to Friday. Work outside these hours may be required for fieldwork, outreach events, etc. Interns may be eligible for a flexible work schedule, subject to supervisor and division approval. Interns may work up to 1,040 hours in a fiscal year. Most intern positions will terminate at the end of summer; depending on the nature of the work, some positions may be eligible to continue into the school year, subject to supervisor and division approval. Intern positions may be available in the following Divisions and Sections: Streets Division: Engineering interns within the Streets Division are responsible for developing design alternatives for transportation projects; performing field visits; preparing traffic control device work orders; drafting in AutoCAD; preparing striping drawings for official records; estimating project costs for traffic striping, signage, signal, and civil work scope; analyzing signal timing; reviewing construction work zones and site plans; supporting public outreach; and preparing legislation. Responsibilities will vary depending on the team. Engineering teams within the Streets Division include: Livable Streets Transportation Engineering Capital Programs & Construction Transit Division: Engineering interns within the Transit Division are responsible for supporting the evaluation of the E-bus pilot program, participating in design review, project planning and engineering maintenance support for electrical distribution utility or being a part of the team that supports the Cable Car systems, storage tank systems, elevator/escalator systems and a variety of other transportation infrastructure. The specific responsibilities will vary depending on the team assigned. Engineering teams within the Transit Division include: Program Delivery and Support - Fleet Engineering Maintenance of Way - Mechanical Systems Program Maintenance of Way - Traction Power Group Maintenance of Way - Maintenance Engineering Qualifications Minimum Qualifications: Education: At the time of submitting application, you must be enrolled in an accredited university or a community college pursuing a degree in one of the following fields: Civil Engineering, Traffic Engineering, or Transportation Engineering. OR Possess a baccalaureate degree or graduate degree in one of the above fields from an accredited university or community college AND be enrolled in an accredited university or a community college pursuing a degree in a related field. You must be currently enrolled and continuing in an associate, undergraduate or graduate program or entering/continuing a graduate program in the Fall 2026 Students enrolled in second-to-last or last semester and will soon graduate are also encouraged to apply as you may still be selected for the program within six months of graduation. Experience: No previous experience is necessary for individuals pursuing a master's degree or higher in a qualifying field. For undergraduate candidates, prior engineering or relevant internship experience is required to compete for positions at the 5381 level. Notes: 1. Applicants must meet the minimum qualifications by the final filing date unless otherwise noted. Desirable Qualifications: The stated desirable qualifications may be used to identify candidates advancing to the interview process and/or to identify job finalist(s) at the end of the selection process when referred for hiring. Interest in public-sector careers in transportation, especially public transit, walking, and bicycling. Understanding of the impact of transportation decisions on marginalized communities, including people of color, people with low-incomes, and people with disabilities. Experience working with marginalized communities. Demonstrated ability to work collaboratively, including, but not limited to, examples drawn from: school, work, community activities, extracurricular activities, team sports and/or volunteering experiences. Demonstrated ability to communicate clearly and effectively. Ability to adapt to new situations, changing priorities, or unexpected challenges to meet project goals. Ability to analyze evidence, critically consider options, and draw conclusions from data. Knowledge of principles, practices, and methods of engineering (civil, mechanical, electrical, environmental, and/or transportation) as demonstrated in work experience (jobs, internships, or research positions). Applied knowledge of Microsoft Office, ArcGIS, AutoCAD, SolidWorks, Adobe Creative Suite, and/or other software. Additional Information Important Information for Applying - Please read carefully: Use the ‘Easy Apply' feature at the top of the application page to pre-fill the page. This will also automatically attach your resume to the application. You must attach the following: Proof of your community college, undergraduate or graduate school education (Master's or PhD program). This can be official or unofficial transcript, diploma, class schedule, or other document that shows your current enrollment or student status with your school. Submission date for college transcripts may be extended if it is impossible to obtain by January 16, 2026. Applicants must submit a signed statement explaining why transcripts cannot be obtained by the filing date. Extension requests will be granted on a case-by-case basis. It is the applicant's sole responsibility that all application materials and support documentation be received in a complete and legible form. AND Resume (PDF only, limited to 2 pages) AND Cover letter (PDF only, limited to 2 pages) that: briefly addresses your interest in urban planning, transportation, city government, community engagement, and career goals AND includes examples that show how you meet desirable qualifications listed on this job ad. Applications without these attachments will be considered incomplete and may not move on in the hiring process. If you have any questions or need assistance, you may email *********************. The selection process will include evaluation of applications in relation to minimum requirements. Applicants meeting the minimum qualifications are not guaranteed advancement to the interview. Depending on the number of applicants, the SFMTA may establish and implement additional screening mechanisms to comparatively evaluate the qualifications of candidates. If this becomes necessary, only those applicants whose qualifications most closely meet the needs of SFMTA will be invited to participate in the oral/performance interview. Your resume and cover letter will be used for scoring in the selection process. What else should I know? Staying Connected Applicants will be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that the email address on the application is accurate and accessible. Also, applicants must ensure that our emails are not blocked by a spam filter. To prevent blocking, applicants should set up their email to accept mail from @smartrecruiters.com and @sfmta.com. After successfully submitting the application, you will receive a confirmation email that your application has been received. You should retain this confirmation email for your records. Failure to receive this email means that your application was not submitted or received. Verification: Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. More information can be found at: **************************************************************** Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. Selection Process: Applications will be screened for relevant qualifying experience. Additional screening mechanisms may be used to determine candidates' qualifications. Only those applicants who most closely meet the needs of the Agency will be invited to move forward in the selection process. Information About the Hiring Process Conviction History Employee Benefits Overview Equal Employment Opportunity Disaster Service Worker ADA Accommodation Right to Work Copies of Application Documents Diversity Statement All your information will be kept confidential according to EEO guidelines. For questions or inquiries, please contact: *********************. The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Change the world. Love your job. Interface across various work areas and organizations to help with the design, development, and analysis of different semiconductor packaging technologies to enable differentiation for TI's analog and embedded processing products. Assignments may include participation in cross-functional teams to develop internal and external solutions for semiconductor packaging technologies, including Wirebond, Flip Chip, Modules, SIPs and other advanced packages at different stages of readiness. Cultivate packaging advancements with work in material, mechanical, thermal, and electrical characterization. TI's innovative packaging technologies are designed to solve customers' problems by delivering advances in miniaturization, integration, high reliability, high performance, and low power. Put your talent to work with us as a Packaging Engineering Intern ! Qualifications Minimum Requirements: Currently pursuing an Masters degree in Mechanical Engineering, Materials Science, Chemical Engineering, Physics or Electrical Engineering. Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Semiconductor packaging knowledge is preferred (processes, assembly, reliability, materials, characterization, FA) Demonstrated analytical and problem solving skills Strong written and verbal communication skills Ability to work in teams and collaborate effectively with people in different functions Strong time management skills that enable on-time project delivery Ability to build strong, influential relationships Ability to work effectively in a fast-paced and rapidly changing environment Ability to take the initiative and drive for results

Embrace Your Possibilities: At Brown and Caldwell, an environmental engineering firm, we're unlocking the potential of water and healthy environments to create thriving communities. Delivering this shared purpose starts with our people: We recruit individuals seeking to develop their skills and gain experience to build a strong foundation for the future. Through an internship at Brown and Caldwell, you'll gain real-life, hands-on experience alongside our employee owners, engineers, scientists, consultants, and constructors who are driving positive changes for our clients and communities. Here you'll find opportunities for impact, community that lifts, support to thrive, and trust in you as you embark on your career journey. So, what's possible for you? Brown and Caldwell offers Summer Internship opportunities to spend a summer working with our team to support the Private Sector Business Unit. We are seeking an individual interested in gaining practical, hands-on experience outside of the classroom. We promise a collaborative environment where you will grow as a professional under the guidance of your people manager and team and be trusted to support project objectives. Our work is interesting, challenging, wide-ranging in nature, and impactful for the communities we live in. We invite you to embrace your possibilities and join us to learn and develop with our team of nationally recognized experts! How Will You Make an Impact? Interns at Brown and Caldwell make a daily, material impact by completing support duties to advance their team's projects and objectives. They receive professional training and the support of their team. Interns can expect to be onboarded, mentored, and developed by industry leaders to develop real-life skills and make an impact on their assigned projects. As a Summer Intern, you can expect your experience to include the following: * Collaborate closely with project managers, engineers, designers, and BIM leads to execute work on water and wastewater treatment and conveyance infrastructure projects. * Assist in the preparation of engineering and design deliverables including drawings, specifications, technical memoranda, reports, schedules, and figures. * Communicate effectively and coordinate with multidisciplinary project teams (e.g., drafters, designers, engineers). * Perform edits and updates in Revit and AutoCAD models based on engineering changes and markups. * Participate in the full project lifecycle, including design, documentation, and construction support. * Conduct field work such as site investigations and construction observations as needed. * Support data-related tasks including entry, analysis, visualization, and documentation to inform design decisions. * Check design deliverables for consistency, readability, and adherence to standards and specifications. * Provide engineering services during construction, including performance checks and conformity assessments. * Manage and deliver assignments on time, demonstrating strong organizational and time management skills. * Complete an Internship Capstone project demonstrating skill development, learning, and accomplishments gained during the summer internship experience. Work schedule and location: Summer Interns with Brown and Caldwell work a full-time schedule of 40 hours a week and may have the potential for hybrid work schedules and fieldwork Desired Skills and Experience: What Must Our Candidate Have? (Required) * To qualify for an internship, you must be enrolled as a student seeking a degree in engineering (Structural Engineering, Mechanical Engineering, Environmental Engineering, Electrical Engineering, or a related field), science, geology, or a related field. * You must be enrolled for the 2025-2026 academic year and plan to continue in Fall 2026. * You also must maintain a minimum cumulative GPA of 3.0 on a 4.0 scale. Salary Range: The hourly pay range for this position is based on the employee's primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future. Location A: Hourly $18.40 - $25.20 Location B: Hourly $20.20 - $27.70 Location C: Hourly $22.00 - $30.20 You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter. Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits. About Brown and Caldwell Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction firm with 50 offices and 2,100 professionals across North America and the Pacific. For 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice-to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit ************************ This position is subject to a pre-employment background check and a pre-employment drug test. Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act #Intern26

Job Description We are looking for undergraduate students in Industrial Engineering with strong analytical backgrounds who are intelligent, hardworking, energetic, articulate, open to new challenges, and willing to learn. The Internship experience will give you insider knowledge to how a fast moving, and entrepreneurial company operates, while exposing you to exciting and challenging work. PURPOSE: The internship is also designed to give you multiple opportunities to interact with members of Fabrinet West an invaluable chance to showcase your skills and start building a network of professionals for future internships or post-graduate work. PRINCIPLE ACCOUNTABILITIES / DUTIES:Key Responsibilities: Assist the engineering & other departments in different projects providing ideas for more efficiency Help the engineers review the technical specifications in projects and provide ideas as applicable, document as necessary Work on projects that may entail six - sigma / lean type activities PREVIOUS EXPERIENCE REQUIRED: ( include experience required with specific software applications, equipment, or specific certifications and education requirements such as MSME, MSEE, APICS, etc) PREFERRED Qualifications (nice to have skills): Education or Training:Education: GPA of 3.0 or higher is preferred: Desired completed college Experience: Previous Intern experience is a plus Required Skill: English skill, computer skills, must be proficient in Excel and PowerPoint Required Training: Communication skills, Leadership skills Job Competencies: Interpersonal and communication skills, Presentation skills FabrinetWest including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identify, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Job DescriptionDescriptionAbout the Role We are seeking a Machine Learning Automation Engineer Intern to join our Data and Analytics team. This role is ideal for someone passionate about building automation pipelines, experimenting with generative AI models, and optimizing ML workflows from data ingestion to deployment. You will collaborate with data scientists, data engineers, and automation architects to build scalable, intelligent systems that power next-generation analytics and agentic AI solutions. Key Responsibilities Design and implement automated pipelines for data preprocessing, model training, evaluation, and deployment. Develop generative AI workflows (LLMs, diffusion models, transformers) for applied use cases such as synthetic data generation, RAG pipelines, and multimodal analysis. Build and maintain CI/CD for ML systems, ensuring reproducibility and model governance. Collaborate on feature engineering, hyperparameter tuning, and model validation using advanced statistical methods. Integrate MLOps frameworks (e.g., MLflow, Azure ML, AWS SageMaker) into automation processes. Prototype and evaluate new tools for AI-driven process automation and intelligent agent frameworks. Document experiments, track metrics, and support version control of datasets and models. Required Skills & Qualifications Strong programming skills in Python (mandatory); familiarity with libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and LangChain. Working knowledge of generative AI (e.g., GPT, Llama, or similar LLMs). Solid understanding of statistics, probability, and data analysis (hypothesis testing, regression, A/B testing, Bayesian methods). Familiarity with automation frameworks (Airflow, Prefect, or similar) and version control (Git). Familiarity with AI powered code editors / IDE (eg., Cursor, Replit, VS Code, or similar) Working knowledge of API integration, prompt engineering, and vector databases (e.g., Pinecone, Qdrant, Weaviate). Understanding of data pipelines, model monitoring, and evaluation metrics. Excellent problem-solving skills and an eagerness to learn emerging AI technologies. Preferred Qualifications/Course Work Coursework and project/prototype experience in Machine Learning, Deep Learning, or Generative AI. Exposure to MLOps and DevOps tools (Docker, Kubernetes, CI/CD). Familiarity with cloud platforms (Azure, AWS, or GCP). Familiarity with data visualization (Matplotlib, Power BI). Bachelor's degree in mathematics, data science, computer science, engineering, statistics or equivalent. ..

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This internship role will be based out of Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You'll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn's products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: + May 26th, 2026 - August 14th, 2026 + June 15th, 2026 - September 4th, 2026 Responsibilities: + Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures + Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning + Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn's platform + Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking + Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents + Contribute to internal frameworks for human-in-the-loop annotation and preference modeling Basic Qualifications: + Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship + Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures + Knowledge of generative models, neural networks, and probabilistic methods for AI + Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch Preferred Qualifications: + Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms + Experience with multimodal learning, combining visual and textual data in Generative AI systems + Knowledge of reinforcement learning applied to Generative AI tasks + Hands-on experience deploying generative models in production environments + Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV) + Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) + Involvement in consumer-facing product development and design + Understanding of configuration management techniques and tools + Proven proficiency with command of algorithms and data structures + Excellent communication skills Suggested Skills: + Machine learning and deep learning + Advanced data mining + Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* . **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

We are looking for ambitious achievers to join our 2026 Kickstart Internship Program in San Francisco, CA! Your work will support project teams providing solutions for water resources, water quality, wastewater and water treatment, and recycled water planning and implementation issues that our water environment, transportation, and industrial sector clients are facing. You will have opportunities to get involved in significant projects throughout the United States. These projects may involve field work, technical report preparation and calculations, pre-construction conditions documentation, design plans and specifications. What we can offer you Meaningful Projects and Work Mentorship Professional Development Networking and Collaboration A Day in the Life of an Intern: Working on a variety of projects which allow you to apply skills and calculations that you have learned in school Managing ongoing projects and communicating with other team members and clients Attending and contributing to client meetings Visiting project sites Receiving mentorship and advising Networking with employees and clients Qualifications: Currently pursuing an undergraduate or graduate degree in: Civil Engineering Environmental Engineering Chemical Engineering Related Engineering field Completion of a minimum of junior (third-year) standing in an accredited engineering program Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work, with a minimum of two days per week in the office. This approach empowers our people to thrive, collaborate, and achieve their full potential. Pay rate for this position is anticipated to be $20 to $25 per hour, and may vary based upon education, experience, qualifications, skills, licensure/certifications, seniority, geographic location, and performance. Intern Benefits Summary: As a Kickstart intern, you'll enjoy the benefits package designed to support you during your experience. Choose between quality medical coverage or a $150 monthly stipend if you have other coverage, plus receive $15 per month toward your cell phone costs. You'll also have the opportunity to participate in our 401(k) plan and accrue paid sick time throughout the program, ensuring that your well-being and future are always a priority. #LI-hybrid

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Engineer interns to bridge design and front‑end engineering. Partnering with mentors across product, design, data, and engineering, you'll prototype and validate ideas, contribute to our design system, and translate research into polished, performant interfaces. Expect real projects, supportive teammates, and opportunities to ship experiences that are accessible, delightful, and meaningful for our Pinners. What you'll do: Take ownership over the completion and quality of your tasks and project while incorporating guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Bridge design and engineering teams Communicate new ideas and opinions with candor as you grow both professionally and personally through learning and development opportunities What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Master's in statistics, psychology, sociology, applied sciences, computer science or related field Obtain Master's in computer science, statistics, psychology, sociology, applied sciences or related field by 2027 Previous Software Engineering internships Passion for solving user-experience problems / upleveling the quality of the Pinner experience Proficiency in a dynamic programming language such as JavaScript, CSS, C++, HTML, Python, Java, Go-we use a variety of programming languages and tools Ability to continually learn from your experiences We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 In-Office Requirement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration [1-2 times per week] and therefore needs to be in a commutable distance from one of the following offices [San Francisco]. Relocation Statement: This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $8,250 - $11,000 monthly. #LI-FILS #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: Illumio's Cloud Segmentation and Security Analytics team builds and operates the enforcement and analytics platform that stops lateral movement across multi-cloud and hybrid environments. We transform massive volumes of customer inventory, topology, and traffic data from AWS, Azure, GCP, and OCI into actionable segmentation insights and precise policy enforcement. Our systems leverage native cloud security controls to achieve Zero Trust segmentation at scale. The team's mission is to deliver real-time security analytics and enforcement orchestration that's resilient, low-latency, and cloud-aware. We address the toughest challenges around scalability, rate limits, resiliency, and consistency across diverse cloud environments using a modern, distributed tech stack. What You'll Do: Design and build distributed services that analyze traffic and enforce segmentation policies across multi-cloud environments Develop scalable orchestration layers to translate and apply policies using native cloud firewalls and controls Build data pipelines that correlate cloud resources, traffic, topology, and network telemetry to derive real-time insights into trust boundaries and policy effectiveness Contribute to algorithms that contain lateral movement, policy drift, and misconfigurations. Optimize resiliency, latency, and throughput of enforcement workflows within cloud rate limit and API constraints Collaborate with cross-functional teams to deliver secure, observable, and performant microservices Participate in design discussions, performance reviews, and production readiness assessments to ensure high reliability Your Tool Kit: Currently enrolled in a full time Bachelor's or Master's degree program in Computer Science, Software Engineering, or a related field with an expected graduation date in Winter 2026/Spring 2027 A positive, can-do attitude with strong ownership and drive to build world-class cloud segmentation software Strong programming skills in Golang or similar language with solid understanding of distributed systems, data structures, and concurrency Familiarity with Kubernetes, gRPC, Postgres, graph databases, caching databases and public cloud platforms Interest in cloud security, firewall orchestration, and Zero Trust segmentation Understanding of networking concepts such as VPCs, routing, and firewall rule evaluation is a plus A mindset focused on scalability, fault tolerance, and performance optimization Strong collaboration, problem-solving, and communication skills What You'll Gain: Hands-on experience designing and deploying multi-cloud security and segmentation systems that operate at a massive scale Deep exposure to native cloud firewalls, enforcement points and policy APIs across AWS, Azure, GCP, and OCI Understanding of how to operationalize Zero Trust principles using distributed enforcement models Mentorship from senior engineers building industry-leading cloud microsegmentation technology Opportunity to design and demo a capstone project with measurable impact on scalability, resiliency, or security posture Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Large GP Firm with Cravath level compensation. An elite industry leader in Life Sciences & Patent Law. Very active with IPRs at the PTAB. A top firm for emerging companies and venture capital in technology and life sciences. Exceptional programs for lateral integration and professional development. REQUIREMENTS Patent prosecution law firm experience, patent bar membership, and a background in one of the following fields: electrical engineering, mechanical engineering, chemical engineering, materials sciences, artificial intelligence (AI)/machine learning (ML), or related disciplines. A demonstrable interest in the life sciences either from industry or educational experience is strongly preferred. Advanced degrees and prior patent agent experience are preferred. We also are seeking candidates with strong verbal, written, and interpersonal skills as well as superior academic credentials. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. **Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. Your Impact Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. * Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. * Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications * Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. * Knowledge of data pipeline design, tools, and maintenance. * Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). * Familiarity with MCP/Agent workflows or supply chain processes. * Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. ProductIntern26 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: 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer Intern, your responsibilities will encompass: * Developing and optimizing embedded software for robotic surgery applications * Streamlining our codebase by refining and, when necessary, retiring legacy embedded software * Rigorous testing and validation of software systems to meet the highest safety and reliability standards * Participating in peer code reviews * Writing drivers and applications to extend the functionality of our robotics * Specifying hardware and software choices as we develop future hardware platforms * Sharing your findings and progress with the team in a collaborative environment Required Qualifications: * Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving * Proven experience in software development, preferably with exposure to embedded systems Preferred Qualifications: Embedded Software Development: * 2+ years of experience with embedded systems * Proficient with common communication protocols (SPI, UART, I2C, etc.) * Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3 * Proficient in at least one embedded language such as C, C++, or Rust * Proficient with embedded toolchains and workflow Experience building and bringing-up MCUs or FPGAs * Experience with embedded stacks for ARM cores * Experience developing on embedded Linux platforms * Experience with embedded Linux kernel configuration and device tree setup * Experience with kernel driver development * Experience with ARM bootloaders * Experience coding drivers for actuators and sensors * Experience with high-speed data acquisition and processing Electrical Engineering: * Foundational understanding of MCU architectures and peripheral integration * Solid knowledge in electrical engineering and DSP * Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. * An opportunity to change the world and work with some of the smartest and most talented experts from different fields * Growth potential; we rapidly advance team members who have an outsized impact * Excellent medical, dental, and vision insurance through a PPO plan * Paid holidays * Commuter benefits * Meals provided * Equity (RSUs) *Temporary Employees & Interns excluded * 401(k) plan *Interns initially excluded until they work 1,000 hours * Parental leave *Temporary Employees & Interns excluded * Flexible time off *Temporary Employees & Interns excluded

Job DescriptionDescription We are seeking a SAP Prompt Engineer Intern to join Align Technology's dynamic team. This role is ideal for graduate students from any accredited college who are passionate about SAP systems and AI-driven solutions. You will work closely with technical and functional SAP teams to design, optimize, and implement prompt engineering strategies that enhance automation and efficiency within SAP environments. Collaborate with SAP functional and technical teams to understand business processes and system requirements. Develop and refine prompts for AI tools (e.g., ChatGPT, Gemini) to support SAP-related tasks, including configuration and development workflows. Assist in creating intelligent solutions for SAP ECC and S/4HANA environments using prompt engineering principles. Support customization and development activities, leveraging ABAP programming where applicable. Document prompt strategies, test cases, and best practices for future scalability. Currently enrolled in a graduate program at an accredited college or university. Hands-on experience with AI tools such as ChatGPT, Gemini, or similar platforms. Basic understanding of prompt engineering concepts and their application in enterprise systems. Strong analytical and problem-solving skills with attention to detail. Familiarity with SAP architecture, including functional (configuration) and technical (customization, development) streams. Knowledge of ABAP programming language (highly desired). Exposure to S/4HANA (a plus), though experience with ECC is valuable. Understanding of core SAP configuration processes for functional roles. Opportunity to work on cutting-edge AI and SAP integration projects. Mentorship from experienced SAP and AI professionals. Hands-on experience in a global technology-driven organization. Would you like me to also create a short version for job boards (e.g., LinkedIn, Handshake) or draft an evaluation rubric for screening candidates? ..

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based out of Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You'll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn's products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: * May 26th, 2026 - August 14th, 2026 * June 15th, 2026 - September 4th, 2026 Responsibilities: * Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures * Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning * Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn's platform * Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking * Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents * Contribute to internal frameworks for human-in-the-loop annotation and preference modeling Qualifications Basic Qualifications: * Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship * Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures * Knowledge of generative models, neural networks, and probabilistic methods for AI * Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch Preferred Qualifications: * Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms * Experience with multimodal learning, combining visual and textual data in Generative AI systems * Knowledge of reinforcement learning applied to Generative AI tasks * Hands-on experience deploying generative models in production environments * Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV) * Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) * Involvement in consumer-facing product development and design * Understanding of configuration management techniques and tools * Proven proficiency with command of algorithms and data structures * Excellent communication skills Suggested Skills: * Machine learning and deep learning * Advanced data mining * Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: Illumio's Cloud Secure team builds and operates the data backbone that powers our AI-driven Security Graph - a system that maps the world's most complex cloud environments in real time. We ingest and process petabytes of cloud metadata and network flow logs from AWS, Azure, GCP, and OCI cloud environments using high throughput streaming applications. This data fuels our graph analytics and Zero Trust segmentation engine, giving customers deep visibility and precise control across billions of workloads. Our SaaS platform spans multi-cloud environments and leverages a modern tech stack of Golang, Kafka, Neo4j, Postgres, and advanced data lake technologies that are all containerized and orchestrated at scale. As an intern, you'll work at the intersection of large-scale data engineering, distributed systems, and cybersecurity analytics, contributing to systems that help secure the world's most critical workloads. What You'll Do: Design, implement, and test features within large-scale data ingestion and analytics pipelines that handle streaming telemetry across multi-cloud environments Contribute to the AI-powered Security Graph, experimenting with data models and graph queries that enrich cloud visibility Collaborate with engineers to optimize performance, reliability, and cost efficiency across Kafka, Neo4j, and Postgres-backed services Develop dashboards and automation for data health, ingestion latency, and observability metrics Explore new ways to extract insights from flow data, using data lakes and analytics frameworks to uncover behavioral patterns Document and share technical findings and impact metrics with engineering and product teams to support data-driven decision-making Your Tool Kit: Currently enrolled in a full time Bachelor's or Master's degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring2027 Strong coding skills in Golang, Python, or Java, and an understanding of data structures and distributed system design Curiosity about AI applications in cybersecurity, graph analytics, and streaming data pipelines Familiarity with Kafka, Kubernetes, and cloud services (AWS, Azure, GCP) A growth mindset, strong analytical thinking, and enthusiasm for tackling scale challenges What You'll Gain: Experience operating in multi-cloud, petabyte-scale environments that power real-time cybersecurity analytics Hands-on exposure to streaming data systems, graph databases, and data lake architectures Mentorship from engineers building one of the industry's most advanced cloud visibility and segmentation platforms A capstone opportunity to design, implement, and demo a project that has a measurable impact on data scale, efficiency, or insight generation Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. * Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. * Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. Preferred Qualifications * Experience with inference engines such as vLLM, Triton, or TorchServe. * Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. * Familiarity with agent frameworks and cloud-native platforms. * Experience with cybersecurity principles and Python programming, including common AI libraries. * Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 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: 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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.