{"id":2756282,"url":"https://alion.io/job/nvidia-senior-machine-learning-applications-and-compiler-engineer-lpx-3","title":"Senior Machine Learning Applications and Compiler Engineer, LPX","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":80,"open_postings":775,"ghost_share":0.025,"stale_share":0.735,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Toronto, Canada","Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":117000,"max_usd":204000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":65},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"LLVM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLIR","optional":false},{"name":"ONNX","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-03-23T00:00:00Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-10-22T15:34:09Z","board_verified":true,"closed_at":null,"days_open":213,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":213},"description":"We are now looking for a Senior Machine Learning Applications and Compiler Engineer!\nNVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!\nWhat you’ll be doing:\nBuild, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization.\n\nDefine and implement mappings of large-scale inference workloads onto NVIDIA’s systems.\n\nExtend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.\n\nBenchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware.\n\nCollaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points.\n\nPrototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors.\n\nPublish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues.\n\nWhat we need to see:\nMS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 5 years of relevant experience.\n\nStrong software engineering background with proficiency in systems level programming (e.g., C/C++ and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency.\n\nHands on experience with compiler or runtime development, including IR design, optimization passes, or code generation.\n\nExperience with LLVM and/or MLIR, including building custom passes, dialects, or integrations.\n\nFamiliarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.\n\nSolid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors.\n\nStrong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements.\n\nExcellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams.\n\nIdeal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads.\n\nWays to stand out from the crowd:\nPrior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.\n\nContributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.\n\nDemonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar.\n\nExperience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 135,000 CAD - 185,000 CAD for Level 3, and 170,000 CAD - 220,000 CAD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until March 27, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.","description_format":"text","description_chars":3899,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-17T01:56:58Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.224,"p_room":0.28,"age_days":213,"expected_fill_days":35,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-machine-learning-applications-and-compiler-engineer-lpx-3","json_url":"https://alion.io/job/nvidia-senior-machine-learning-applications-and-compiler-engineer-lpx-3.json","meta":{"generated_at":"2026-10-22T16:36:16Z","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":16979,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-machine-learning-applications-and-compiler-engineer-lpx-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-machine-learning-applications-and-compiler-engineer-lpx-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-machine-learning-applications-and-compiler-engineer-lpx-3"},{"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-machine-learning-applications-and-compiler-engineer-lpx-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-machine-learning-applications-and-compiler-engineer-lpx-3"}]}