Sr Software Engineer - AV Performance - AV Labs

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 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.

As a Senior Software Engineer, you will be at the forefront of Physical AI, architecting the AV performance frameworks that support fast iteration on high-performance standards for the autonomous industry. You will drive the development of high-velocity driving performance and validation pipelines, move beyond solving isolated bugs to building collaborative system software designs, and establish innovative automated methodologies that empower our partners to accelerate the safe, reliable, and scalable deployment of autonomous vehicles across global markets.

What the Candidate Will Do

• Software-Driven Evaluation Frameworks: Lead the design and implementation of automated software frameworks for benchmarking autonomous system capabilities. Audit partner software performance against Uber AV Labs’ safety and efficiency KPIs using high-throughput data analysis.
• Data Pipeline Optimization: Architect and optimize high-velocity data pipelines and software stack throughput. Ensure that autonomous stacks meet rigorous software interface, processing latency, and data fidelity requirements within our collection fleet.
• Advanced Driving Behavior Metrics: Develop multi-modal software metrics to independently benchmark autonomous software performance against human capabilities and internal safety standards across both road and simulation environments.
• Cross Team Collaboration: Communicate benefits and limitations of new models and metrics to partner teams

Basic Qualifications

• 5+ years of professional software engineering experience, specifically in developing large-scale data systems or autonomous software stacks.
• Strong expertise in software architecture, distributed computing, and the ability to decompose complex capability challenges into scalable software solutions.
• Proficiency in C++ or Python, and Linux environments, with experience in high-performance software development.
• Ability to employ AI tools and champion efficiency.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

Preferred Qualifications

• Experience with large-scale distributed systems, cloud infrastructure (e.g., AWS/GCP), and optimizing software for low-latency performance.
• Hands-on experience developing evaluation metrics,, data mining tools, and automated validation software for autonomous vehicles.
• Proven track record of defining software release processes, automated safety criteria, and CI/CD pipelines for safety-critical systems.

Responsibilities

Company