{"id":198800,"url":"https://alion.io/job/zoox-software-engineer-collision-avoidance-system-metrics","title":"Software Engineer - Collision Avoidance System Metrics","company":{"id":3626,"name":"Zoox","domain":"zoox.com","url":"https://alion.io/company/zoox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":45,"ghost_share":0,"stale_share":0.911,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States","San Diego, United States","Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":185000,"max":251000,"currency":"USD","period":"year","gross":null,"usd_annual":251000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Verification & Validation","optional":false}],"status":"live","first_seen_at":"2026-09-03T22:05:27Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-26T14:36:17Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.\nThe CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features.\nIn this role, you will:\nApply distributed computing algorithms to analyze petabytes of urban driving data.\nDevelop metrics and tools to analyze errors and system improvements.\nWork closely with CAS engineers to evaluate system performance.\nCollaborate with Perception engineers to define metrics for autonomous driving.\nPartner with Planning engineers to measure performance in complex urban environments.\nQualifications:\nBS, MS, or PhD 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