{"id":3672094,"url":"https://alion.io/job/nvidia-senior-compiler-engineer-ai-2","title":"Senior Compiler Engineer - AI","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":794,"ghost_share":0.025,"stale_share":0.594,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","Redmond, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"JAX","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"MLIR","optional":false},{"name":"MPI","optional":false},{"name":"NCCL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"XLA","optional":false},{"name":"C","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-08T20:35:34Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as \"the AI computing company\".\nNVIDIA is hiring world class Software Engineers with AI Compiler and distributed systems experience for its Deep Learning Compiler Technology team. The team builds JaxPP, NVIDIA's open-source library for pipeline parallelism in JAX. JaxPP turns a JAX training program into per-stage tasks and runs them across many GPUs. With it, very large models can be trained on NVIDIA GPU clusters using unmodified JAX and XLA. Join the team that is developing advanced compiler and runtime technology for the entire deep learning community.\nWhat you'll be doing:\nDesign and implement program transformations on JAX programs (jaxpr) for large-scale training, on top of unmodified JAX and XLA: pipeline schedules, placement of tasks across stages, sharding (including JAX explicit sharding), and overlap of communication with computation.\nDevelop technologies and products involving optimizing compilers and runtime execution frameworks for accelerating deep learning training on large scale distributed systems.\nWork on compiling a graph intermediate representation (IR) to target specific code, and build the distributed runtime that dispatches per-stage programs to many GPUs and moves data between stages through communication libraries such as NCCL.\nContribute to advancing the state of the art in compiler technology for delivering high performance on large-scale training workloads, including mixture-of-experts models.\nCollaborate with members of the software framework teams (for example JAX and XLA) and the hardware architecture teams to accelerate the next generation of deep learning software, and work on integrating JaxPP into JAX training frameworks, including MaxText.\nBe a core contributor to the open-source JaxPP project: keeping it working with new JAX releases, testing, performance tracking, and working with teams who adopt it for their training runs.\nWhat we need to see:\nMasters or PhD in Computer Science, Computer Engineering, or related field or equivalent experience.\n6+ years of relevant work or research experience in compilers, distributed systems, or deep learning training.\nCompiler design and implementation.\nDistributed system design, development, and deployment.\nExperience with deep learning frameworks (JAX, PyTorch).\nGPU training and inference of deep learning models.\nC/C++ and Python programming, with excellent software design skills, including debugging, performance analysis, and test design.\nExperience with parallel computing libraries (MPI).\nBe able to work independently, define project goals and scope, and lead your own development efforts.\nStrong communication skills are required, including working directly with engineers at partner companies to debug and tune large training runs, along with the ability to work in a dynamic product-oriented team.\nWays to stand out from the crowd:\nExperience with JAX internals (jaxpr, tracing, sharding, shard_map), or with XLA, StableHLO, or MLIR.\nExperience building or tuning large training jobs with pipeline, tensor, expert, and data parallelism, for example in MaxText or Megatron-LM, and debugging their performance on large GPU clusters.\nKnowledge of GPU communication libraries such as NCCL, NVSHMEM, or RDMA, and of CPU and/or GPU architecture. CUDA programming experience is a plus.\nContributions to open-source compiler or machine learning projects.\nExperience in mentoring early career engineers and interns is a bonus.\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 engineer with a real passion for technology, we want to hear from you.\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 6, 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.#deeplearning","description_format":"text","description_chars":5140,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-03T09:33:21Z"}],"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":"2026-11-08T10:45:15+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":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":6,"expected_fill_days":41,"reasons":["conf:6","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-compiler-engineer-ai-2","json_url":"https://alion.io/job/nvidia-senior-compiler-engineer-ai-2.json","meta":{"generated_at":"2026-11-09T00:34:45Z","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":1226,"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-senior-compiler-engineer-ai-2"},{"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-senior-compiler-engineer-ai-2"},{"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-senior-compiler-engineer-ai-2"},{"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-senior-compiler-engineer-ai-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-compiler-engineer-ai-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3672094}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3672094},"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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