{"id":104568,"url":"https://alion.io/job/waabi-senior-staff-ml-onboard-optimization-engineer","title":"Senior / Staff ML Onboard Optimization Engineer","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":90,"open_postings":61,"ghost_share":0,"stale_share":0.213,"repost_share":0,"time_to_fill_p50_days":92,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Dallas, United States","Pittsburgh, United States","Phoenix, United States","Toronto, Canada","Canada"],"countries":["US","CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":227000,"max_usd":429000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":197},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2025-04-24T11:03:32Z","employer_posted_date":"2025-04-24","last_verified_at":"2026-11-01T02:17:36Z","board_verified":true,"closed_at":null,"days_open":555,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":554},"description":"You will...\nCollaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.\nExpand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.\nUse frameworks such as TensorRT and modelopt to optimize the models running on the truck.\nCreate and benchmark new CUDA kernels for inference.\nComprehensively profile model runtime and memory to pinpoint performance bottlenecks.\nQualifications:\nMS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.\nSolid coding proficiency in a variety of coding languages including Python, C++ or Rust.\nExperience in deep learning frameworks such as PyTorch.\nSkilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.\nExperience with Nvidia embedded platforms such as Nvidia Jetson or Thor.\nOpen-minded and collaborative team player with willingness to help others.\nPassionate about self-driving technologies, solving hard problems, and creating innovative solutions.\nBonus/nice to have:\nExperience in model compilation and exporting, interaction with lower level concepts like TensorRT.\nExperience in identifying when custom CUDA kernels are needed, and implementing them.\nExperience in Bazel build systems, and integrating third party packages into dev environments.","description_format":"text","description_chars":1442,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving"],"lifecycle":[{"event":"open","at":"2025-04-24T11:03:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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