About the Role
As a Principal Engineer in Evaluation & Simulation, you will drive the architectural vision and technical strategy for AV Labs' large-scale virtual testing, research, and validation platforms. In this critical leadership role, you will design and scale high-fidelity, closed-loop simulation frameworks that seamlessly combine raw and synthetic sensor data and behavioral models to rigorously evaluate state-of-the-art autonomous capabilities across millions of virtual miles. Operating as a key technical multiplier, you will define deterministic performance metrics, pioneer the generation of complex edge-case scenarios, and collaborate directly with cross-functional research teams. You aren't just building a testing environment; you are building the core evaluation infrastructure that accelerates AI research and sets the standard for uncompromising safety benchmarking across the broader AV ecosystem.
What You'll Do
- Strategic Simulation Architecture: Lead the technical roadmap for our large-scale, cloud-based simulation platform, ensuring it can efficiently scale to run millions of closed-loop scenarios and validate complex urban edge cases
- High-Fidelity Virtual Validation: Design and oversee the implementation of advanced simulation frameworks that integrate sensor data (LiDAR, camera, radar), cutting-edge neural rendering, and highly realistic traffic agent behaviors
- Metrics & Scenario Generation: Define the deterministic and probabilistic evaluation metrics used to score autonomous behavior. Pioneer the systems used for procedural and data-driven generation of rare, long-tail edge-case scenarios
- End-to-End System Integration: Act as the crucial bridge between simulation infrastructure and the core ML stack, ensuring seamless integration so that onboard models can be trained, tested, and validated in highly accurate virtual environments prior to field deployment
- Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous software architecture, testing, and engineering excellence. You will influence the technical direction of multiple infrastructure and autonomy teams
What You'll Need
- 10+ years of working experience in Software Engineering, Autonomous Systems, Simulation, or Robotics
- Proven experience leading the architecture and delivery of large-scale distributed systems or complex simulation platforms from conception to production
- Bachelor's degree in Computer Science, Computer Engineering, or related fields
- Expert-level proficiency in C++ and Python within Linux environments
- Deep expertise in high-performance computing, system optimization, and cloud architecture (AWS, GCP, etc.)
Bonus Points If
- Advanced degree (MS/PhD) in Computer Science, Robotics, or a related technical field
- Extensive experience building AV simulation platforms, rendering engines, or complex video game engines (e.g., Unreal Engine, Unity, custom C++ engines)
- Deep understanding of sensor modeling (Camera, LiDAR, Radar) and vehicle kinematics
- Recognized expertise in the field (e.g., relevant patents, open-source contributions, or publications)
For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.
For all US locations, 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. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
