{"id":1157345,"url":"https://alion.io/job/uber-staff-embedded-engineer","title":"Staff Embedded Engineer","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":98,"ghost_share":0,"stale_share":0.541,"repost_share":0,"time_to_fill_p50_days":4,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":178000,"max_usd":331000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":247},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"FreeRTOS","optional":false},{"name":"Linux","optional":false},{"name":"RTOS","optional":false},{"name":"NVIDIA Drive","optional":true},{"name":"Sensor Fusion","optional":true}],"status":"live","first_seen_at":"2026-09-23T19:30:31Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-28T03:11:46Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nUber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.\nOur AV Labs Hardware team is pioneering the next-generation E/E architecture for our cutting-edge L4 data collectioncapable vehicle fleet.You will drive critical projects ranging from initial 3rd-party hardware driver and firmware development to the embedded development, bring-up, and deployment of our in-house designed production hardware. As a Senior Embedded Engineer, your technical expertise will directly accelerate our path to production, playing a key role in shaping the reliability of our autonomous data collection fleet.\nWhat the Candidate Will Do\nDevelop Core Firmware & Drivers: Design, write, and maintain robust firmware and low-level device drivers for 3rd-party automotive-grade components and critical AV sensors (LiDAR, radar, cameras) to enable immediate, high-fidelity data collection and shadow mode operations.\nDrive In-House Hardware Bring-Up: Execute the transition to production by taking ownership of board bring-up, hardware validation, and low-level software deployment for our custom, in-house designed autonomous computing platforms.\nCollaborate on HW/SW Co-Design: Partner closely with electrical and hardware engineering teams to implement hardware-software interfaces, participate in schematic reviews, and ensure component selection aligns with firmware requirements.\nDebug & Optimize Complex Systems: Utilize hardware debugging tools (oscilloscopes, logic analyzers) and software profiling to troubleshoot intricate system-level issues, optimize sensor data pipelines, and ensure strict timing and network synchronization across the vehicle.\nContribute to Team Excellence: Act as a technical resource and mentor within the hardware team, actively contributing to best practices for embedded software architecture, code quality, and scalable deployment.\nBasic Qualifications\nEmbedded Software Experience: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, accompanied by 7+ years of professional experience developing embedded software using modern C/C++ in RTOS (e.g., FreeRTOS, Embedded Linux) or bare-metal environments.\nLow-Level Driver & Automotive Hardware Expertise: Strong experience writing firmware and device drivers for complex, automotive-grade components, SoCs, and autonomous vehicle sensors (e.g., LiDAR, radar, cameras). This must include hands-on experience with sensor integration, board bring-up, hardware debugging tools (e.g., oscilloscopes, logic analyzers), and familiarity with standard automotive interfaces and vehicle networks (e.g., CAN/CAN-FD, Automotive Ethernet, FPD-Link/GMSL, PCIe, SPI, I2C).\nProduction Lifecycle Execution: Demonstrated experience contributing to embedded hardware systems from initial prototyping and 3rd-party integration through to production deployment-ideally within the autonomous vehicle, robotics, or mission-critical automotive domains.\nPreferred Qualifications\nHardware-Software Co-Design: Experience collaborating closely with electrical and hardware engineers on custom board designs, including participation in schematic reviews and component selection for computing platforms.\nFunctional Safety & Automotive Standards: Understanding of automotive functional safety standards and their application in embedded software development, including experience with ISO 26262 (ASIL B through ASIL D) compliance and adherence to coding guidelines like MISRA C/C++.\nAdvanced Timing & Synchronization: Experience with distributed system timing and hardware synchronization methodologies critical for sensor fusion. Familiarity with Precision Time Protocol (PTP/gPTP, IEEE 802.1AS) and hardware PPS routing across complex vehicle networks is highly valued.\nHigh-Performance AV Compute Platforms: Experience developing firmware and drivers for modern, high-performance autonomous driving SoCs and compute platforms (e.g., NVIDIA DRIVE, Qualcomm Snapdragon Ride) and optimizing data pipelines utilizing hardware accelerators (GPUs, DSPs, NPUs).\nFor Sunnyvale, CA-based roles: The base salary range for this role is USD $211,000 per year - USD $234,000 per year.\nYou will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.","description_format":"text","description_chars":4836,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-09-23T22:09:21Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.512,"p_room":0.75,"age_days":3,"expected_fill_days":4,"reasons":["conf:5","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/uber-staff-embedded-engineer","json_url":"https://alion.io/job/uber-staff-embedded-engineer.json","meta":{"generated_at":"2026-09-28T04:32:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2805,"day_limit":5000,"remaining_today":2195,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}