Uber
From Uber's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem.
Uber 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.
Our 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.
What the Candidate Will Do
Develop 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.
Drive 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.
Collaborate 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.
Debug & 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.
Contribute 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.
Embedded Software Experience: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, accompanied by 5+ years of professional experience developing embedded software using modern C/C++ in RTOS (e.g., FreeRTOS, Embedded Linux) or bare-metal environments.
Low-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).
Production 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.
Hardware-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.
Functional 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++.
Advanced 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.
High-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).
For Sunnyvale, CA-based roles: The base salary range for this role is USD $180,000 per year - USD $200,000 per year.
You 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.
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