Principal Engineer In Evaluation & SimulationAs 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)

About the 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 raceand Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.