{"id":760120,"url":"https://alion.io/job/obvio-senior-embedded-engineer","title":"Senior Embedded Engineer","company":{"id":679042,"name":"Obvio","domain":"obvio.ai","url":"https://alion.io/company/obvio","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":78,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Hardware","role_family":"Hardware","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":["San Carlos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":127000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1517},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"GStreamer","optional":false},{"name":"Linux","optional":false},{"name":"LiteRT","optional":false},{"name":"OpenVINO","optional":false},{"name":"TensorRT","optional":false},{"name":"TFLite","optional":false},{"name":"Edge AI","optional":true},{"name":"Sensor Fusion","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2025-09-27T01:14:33Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-11-05T16:00:11Z","board_verified":true,"closed_at":null,"days_open":404,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":404},"description":"About Obvio AI\nEach year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable, automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities.\nFounded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.\nAbout the Role\nObvio deploys AI-assisted cameras to make streets safer. We’re hiring a Senior Embedded Engineer to own the software that turns cameras, compute, and vision models into reliable products in the field.\nYou will be the senior technical owner for production vision systems on the edge-from image capture and model execution through device services, fleet observability, and safe rollout. This is a hands-on individual-contributor role: you’ll write and review code, debug systems in the field, make architecture and trade-off decisions, and raise the engineering bar across the team.\nWhat You’ll Do\nOwn the production embedded vision stack, including camera capture, media pipelines, model inference, tracking, pre- and post-processing, device services, and cloud interfaces.\n\nDesign software for real-world operation: constrained resources, long uptimes, fault recovery, data integrity, and remote diagnostics.\n\nBuild observability for deployed devices-metrics, logs, traces, crash data, health signals, and tools that make field issues diagnosable.\n\nLead safe fleet releases with versioning, staged rollout, compatibility checks, rollback, and over-the-air update strategies.\n\nDrive architecture and technical decisions across embedded Linux, hardware, vision, backend, and product boundaries.\n\nOwn problems through production: respond to incidents, find root causes, and turn field learning into durable platform improvements.\n\nMentor engineers, lead design & architecture decisions, and establish practical standards for performance, reliability, testing, and maintainability.\n\nWhat We’re Looking For\n7+ years building embedded or edge systems, with a track record of shipping and operating production hardware/software products.\n\nStrong C/C++ skills, plus deep experience with embedded Linux, concurrency, IPC, networking, storage, and system-level debugging.\n\nHands-on experience deploying computer-vision or machine-learning inference on edge devices, not only training models or running cloud inference.\n\nExperience with camera and image pipelines such as V4L2, GStreamer, codecs, synchronization, calibration, or equivalent systems.\n\nExperience optimizing models with one or more production runtimes or accelerators such as TensorRT, SNPE, OpenVINO, or TFLite.\n\nProduction judgment: you can balance accuracy, performance, reliability, security, development speed, and operational cost.\n\nDemonstrated technical leadership across ambiguous, cross-functional work, with clear communication and strong ownership.\n\nBonus Points\nExperience with Qualcomm SNPE or other GPU/NPU-based edge platforms.\n\nExperience with multi-camera systems, sensor fusion, real-time perception, or video analytics.\n\nExperience with secure boot, device identity, signed updates, or hardening connected devices.\n\nExperience operating outdoor, automotive, robotics, IoT, or other ruggedized products at fleet scale.\n\nWhy This Role\nOwn systems from prototype through production fleet operation.\n\nWork with a small, experienced team where senior engineers have real technical influence.\n\nBuild edge AI that directly improves road safety.\n\nWhy Obvio\nYour work will help save lives and improve road safety\n\nSeries A of $54M\n\nFast-moving startup environment with meaningful ownership\n\nCompetitive compensation and early-stage equity\n\nObvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. 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