What are the responsibilities and job description for the Senior Hardware Engineer - AV Systems - AV Labs position at Uber?
About The Role
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 will be 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 (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing).
We will build platforms that harness scale and real-world complexity to reimagine how the world moves.
We are seeking a Sr. Staff Hardware Engineer to serve as the overarching architect for our entire sensing and compute platform. In this role, you will look across the entire vehicle platform definition & topology, balancing the trade-offs between sensor fidelity, compute throughput, thermal constraints, and power delivery.
What You Will Do
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 will be 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 (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing).
We will build platforms that harness scale and real-world complexity to reimagine how the world moves.
We are seeking a Sr. Staff Hardware Engineer to serve as the overarching architect for our entire sensing and compute platform. In this role, you will look across the entire vehicle platform definition & topology, balancing the trade-offs between sensor fidelity, compute throughput, thermal constraints, and power delivery.
What You Will Do
- System Architecture & Topology: Participate in designing the L4 hardware architecture, determining the optimal sensor placement (FoV coverage vs. vehicle aerodynamics), sensor mix (redundancy vs. cost), and compute topology (centralized vs. zonal) to meet safety and data collection goals.
- Supplier Engagement: Participate in the technical roadmap relationships with key industry partners.
- Multi-Modal Integration: Solve complex system-level challenges such as multi-sensor time synchronization, electromagnetic interference mitigation between high-power compute and sensitive RF sensors, and centralized thermal management strategies.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or related field.
- Strong background in complex hardware system architecture, with 3 years of experience building Autonomous Vehicles, Robotics, or Aerospace products.
- Understanding of overall AV sensing modalities and their underlying physics, data structures, and failure modes.
- Understanding on high-performance compute systems and high-speed data interconnects in constrained environments.
- Experience with a L4 autonomous vehicle platform or a complex ADAS system.
- Knowledge of Functional Safety and how hardware architecture supports system-level safety goals.
- Familiarity with NVIDIA Drive platforms (Orin/Thor) and their hardware integration guidelines.
- Experience with vehicle homologation requirements and environmental qualification standards.
Salary : $180,000 - $200,000