About the role and team
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.
What you’ll do
- Strategic Technical Vision: Lead the overarching technical strategy for AV Labs' engineering initiatives. Set the roadmap for complex algorithms, data platforms, and autonomy infrastructure that extract high-fidelity semantic meaning from urban edge cases to enrich our L4 data lake.
- Architecture & System Design: Provide the overarching technical vision for managing upstream sensor dependencies, evaluating large-scale simulation frameworks, and modeling real-world behavior.
- Technical Mentorship & Influence: Mentor senior, staff, and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will serve as a technical standard-bearer and influence the architectural direction of multiple teams.
- Platform Evolution: Define the requirements for high-quality large evaluation datasets, objective performance metrics, and the ultimate data mining engine that empowers autonomous partners to query and extract precise edge cases.
- Cross-Organizational Leadership: Act as a critical bridge between AV Labs and other Uber engineering units to ensure our core architectures, evaluation platforms, and autonomous technologies are successfully integrated and deployed.
Basic Qualifications
- 10+ years of working experience in the Software Engineering, Robotics, or Autonomous Systems industry.
- Proven experience leading large-scale technical projects from conception to production.
- Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or related fields.
- Expert-level proficiency in Python, C++, or similar languages in Linux environments.
Preferred Qualifications
- PhD or MS degree in Computer Science, Robotics, Computer Vision, Machine Learning, or a related highly technical field.
- Extensive experience with C++, CUDA, and high-performance system optimization for onboard systems or massive offline datasets.
- Deep understanding of autonomous system architectures, sensor data pipelines, robot middleware (e.g., ROS), and offline evaluation simulation.
- Experience building and scaling foundational architectures for physical world interaction, large-scale data evaluation, or autonomy infrastructure.
- Recognized expertise in the field (e.g., relevant patents, open-source contributions, or publications).
For Sunnyvale, CA-based roles: The base salary range for this role is USD $302,000 per year - USD $336,000 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.