{"id":3137044,"url":"https://alion.io/job/nvidia-senior-software-engineer-av-analysis-platform","title":"Senior Software Engineer, AV Analysis Platform","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":81,"open_postings":813,"ghost_share":0.025,"stale_share":0.677,"repost_share":0.046,"time_to_fill_p50_days":36,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-28T09:11:28Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"NVIDIA is seeking a senior software engineer to help build and scale evaluation and analysis infrastructure for Autonomous Vehicle development. This role sits at the intersection of AV tooling, distributed systems, data platforms, and developer efficiency. You will develop and enhance systems that allow AV engineers to run AV log data analysis, assess model behavior, debug regressions, and produce critical metrics and insights at scale.\nThis engineer should be able to operate independently, partner deeply with senior technical leads, and bring clarity to complex platform decisions spanning evaluator execution at high-scale, performance tunings, structured outputs and output schema evolution, observability, and production readiness. This role directly improves how AV engineers examine autonomous driving performance, analyze regressions, validate analyzers, and trust the results produced by NVIDIA’s AV infrastructure. The ideal candidate will help make evaluation workflows faster, safer, more observable, and easier for teams to adopt.\nWhat you'll be doing:\nDesign and build evaluation and analysis tooling used by AV and ML engineers.\nImprove analyzer workflows, including onboarding, execution, qualification, and production observability.\nBuild reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.\nDefine and evolve data contracts for analyzer outputs, including structured schemas, tabular data, time-series data, and metadata.\nImprove system stability, performance, traceability, alerting, and operational debuggability for high-scale workloads.\nPartner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end user workflows.\nEstablish guardrails for analyzer rollout, including pre-merge validation, output-size controls, runtime/memory metrics, and production monitoring.\nWhat we need to see:\nBS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.\n12+ years of software engineering experience building production systems, developer tools, data platforms, or evaluation infrastructure.\nStrong programming skills in Python, Go, or similar languages.\nExperience designing distributed systems, workflow orchestration, APIs, backend services, or data pipelines.\nAbility to reason across systems software, data schemas, backend services, and user-facing tooling.\nExperience collaborating across teams and driving ambiguous technical work to completion.\nAbility to balance new feature development with production stability, maintainability, and user support, while demonstrating agility and adaptability in a fast paced environment.\nExperience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage.\nWays to stand out from the crowd:\nBackground with self-driving car development, simulation, evaluation, or analysis workflows.\nExperience with observability, performance profiling, resource usage analysis, and production reliability.\nExperience improving legacy systems through incremental migration, deprecation, and architecture cleanup.\n#LI_Hybrid\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 26, 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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