{"id":3721704,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-autonomous-driving-context-fusion","title":"Senior System Software Engineer— Autonomous Driving Context Fusion","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":806,"ghost_share":0.024,"stale_share":0.568,"repost_share":0.048,"time_to_fill_p50_days":40,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Robotics","role_family":"Robotics","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"],"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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T00:20:33Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a Software Optimization Engineer to join our DRIVE Road Structure / Online Mapping / Context Fusion team. In this role, you will improve the efficiency and real-time performance of software that brings together perception, map, and localization data to build a consistent model of the driving environment. You will work closely with algorithm and platform engineers to identify bottlenecks, optimize software architecture and data flows, and deliver measurable improvements in CPU utilization, memory usage, and latency on automotive platforms. Your work will help advanced autonomous driving capabilities run reliably within demanding compute and timing constraints.\nWhat you’ll be doing:\nOptimize context fusion software that integrates perception, map, and localization data to represent the driving environment.\nDesign and refine software architecture, interfaces, and data flows to meet CPU, memory, and latency requirements on automotive platforms.\nProfile complex software pipelines, identify performance bottlenecks, and implement improvements backed by reproducible measurements.\nWork with algorithm teams to improve computational efficiency while preserving algorithm behavior, output quality, and correctness.\nDevelop benchmarks and performance regression tests to track improvements and prevent regressions.\nPartner with perception, mapping, localization, and platform engineers to resolve system-level performance issues.\nWrite reliable, maintainable code and contribute to code reviews, testing, and the safety and quality expectations of autonomous driving software.\nWhat we need to see:\nA PhD with 4+ years, an MS with 6+ years, or a BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.\nStrong proficiency in modern C++ and extensive experience designing and developing performance-sensitive software.\nDemonstrated ability to profile and optimize CPU utilization, memory consumption, and end-to-end latency.\nA strong understanding of data structures, algorithms, memory management, concurrency, and their impact on software performance.\nExperience using profiling tools and benchmarks to diagnose bottlenecks and validate improvements under representative workloads.\nA systematic approach to debugging and optimization, with a focus on preserving correctness and reliability.\nStrong communication skills and the ability to collaborate effectively across algorithm, software, and platform teams.\nWays to stand out from the crowd:\nExperience optimizing real-time software on embedded or automotive platforms.\nFamiliarity with context fusion, map fusion, localization, perception pipelines, state estimation, or related ADAS and autonomous driving systems.\nExperience with cache-aware data layouts, memory allocation optimization, multithreading, or SIMD/vectorization.\nExperience designing efficient APIs and reusable software frameworks for complex systems.\nA track record of delivering measurable performance improvements in production software while preserving correctness, output quality, and reliability.\n#AutonomousVehicles\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 7, 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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