{"id":3498075,"url":"https://alion.io/job/nvidia-ai-systems-software-engineering-intern-summer-2027","title":"AI Systems Software Engineering Intern – 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":83,"open_postings":780,"ghost_share":0.022,"stale_share":0.586,"repost_share":0.041,"time_to_fill_p50_days":38,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","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":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":20,"max":71,"currency":"USD","period":"hour","gross":null,"usd_annual":142000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"LLM","optional":false},{"name":"LLVM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLIR","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T22:52:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"NVIDIA is looking for an AI Systems Software Engineering Intern to apply AI agents, machine learning, and performance engineering to compilers and developer tools. You will work with compiler and AI engineers on a scoped project involving code, compiler and performance feedback, experiments, and optimization. Depending on your background and interests, the work may focus on agentic workflows, learned models, performance analysis, or AI-enabled developer tools. Experience in every area is not expected.\nWhat you’ll be doing:\nBuild AI-agent workflows that interact with code, compilers, benchmarks, performance tools, and engineering systems.\nDevelop tools that help agents collect data, run experiments, analyze compiler and performance feedback, identify optimization opportunities, and recommend next steps.\nExplore data-driven approaches for compiler optimization, performance prediction, decision support, and workflow automation.\nBuild reliable interfaces between AI agents and compiler or developer-tool infrastructure.\nPrototype improvements to compiler flows, optimization tools, experimentation systems, or developer workflows.\nWork with compiler, architecture, AI, and performance engineers to evaluate ideas on representative workloads.\nMeasure correctness, runtime performance, compile time, reliability, and other relevant outcomes.\nDocument the design, experiments, results, limitations, and next steps.\nWhat we need to see:\nPursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.\nStrong programming skills in Python, C, C++, or a similar language.\nSolid foundations in data structures, algorithms, software engineering, and quantitative problem solving.\nCoursework, research, or project experience in one or more of these areas: AI, machine learning, AI agents, compilers, programming languages, systems, performance engineering, optimization, or developer tools.\nAbility to design experiments, analyze results, investigate technical problems, and communicate findings clearly.\nInterest in learning across AI, compiler, performance, and systems boundaries.\nWays to stand out from the crowd:\nExperience building AI agents, LLM applications, evaluation systems, coding workflows, or developer tools.\nExperience with LLVM, MLIR, compiler optimization passes, code generation, domain-specific languages, or compiler infrastructure.\nFamiliarity with GPU architecture, CUDA, GPU programming, or performance optimization.\nHands-on experience with reinforcement learning, evolutionary algorithms, predictive modeling, ranking, search, or high-dimensional data analysis.\nResearch, internships, open-source contributions, or personal projects that measure runtime, compile time, resource use, code quality, or developer productivity.\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.You will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until November 2, 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. 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