{"id":3854860,"url":"https://alion.io/job/nvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027","title":"Research and Engineering Intern, Agentic Systems Intelligence – Summer 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":797,"ghost_share":0.025,"stale_share":0.55,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","Austin, United States","Redmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T11:43:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\nWe are looking for an outstanding Research & Engineering Intern to join NVIDIA’s Agentic Systems Intelligence (ASI) team, a frontier research and engineering team advancing high-performance AI. Our team builds the next generation of agentic AI systems for the CUDA ecosystem, working across the full stack-from training and improving models, to designing agent architectures and multi-agent systems, to building the systems, runtimes, and evaluation frameworks that make them effective at scale. You will investigate open-ended research questions and turn promising ideas into working systems that can reason about, generate, optimize, and operate across NVIDIA’s accelerated computing stack. Depending on your strengths and interests, your work may focus on advancing model and agent capabilities, building scalable agent systems and runtimes, or developing high-fidelity training and evaluation environments. You will collaborate closely with NVIDIA software, model, and hardware teams, with opportunities to bring new capabilities into NVIDIA products.\nWhat you'll be doing:\nResearch, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.\nDevelop data pipelines, environments, verification tools, reward mechanisms, and evaluation frameworks to improve model and agent capabilities through rigorous experimentation.\nCo-design and optimize agentic systems across NVIDIA’s software and hardware stack, connecting advances in models and agents with compilers, runtimes, libraries, kernels, and GPUs. Demonstrate measurable improvements in correctness, performance, or developer productivity.\nWhat we need to see:\nYou are pursuing a Master’s, or PhD in Computer Science, Electrical Engineering, or a similar field.\nStrong foundations in one or more of the following: AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, or computer architecture.\nHands-on research or development experience in agent systems, coding agents, model training, reinforcement learning, or modern AI inference systems.\nStrong Python programming skills and proficiency in C/C++ or Rust, with solid software engineering fundamentals.\nExperience with GPU computing and an interest in performance optimization and working across system boundaries.\nWays To Stand Out From The Crowd:\nPhD research in a relevant area, with demonstrated ability to formulate research questions, build working implementations, and evaluate them rigorously.\nExperience building coding agents, autonomous software-engineering systems, or agent training and evaluation environments.\nHands-on experience with GPU programming and performance optimization, or with systems such as TRT-LLM, SGLang, or vLLM.\nEvidence of technical depth and ownership through impactful research prototypes, deployed systems, or substantial open-source contributions. Relevant publications are welcome; we especially value strong engineering and measurable real-world impact.\nWith 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 unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous researcher/engineer with a real passion for technology, we want to hear from you.\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD - 94 USD.You will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until November 9, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive 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.","description_format":"text","description_chars":5032,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-06T05:45:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1330}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":41,"reasons":["conf:4","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027","json_url":"https://alion.io/job/nvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027.json","meta":{"generated_at":"2026-11-09T15:25:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21852,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-research-and-engineering-intern-agentic-systems-intelligence-summer-2027"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3854860}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3854860},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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