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.
You will be at the forefront of Physical AI , building advanced autonomy algorithms to add rich semantics to our massive driving data . You will be responsible for the development and implementation of the latest autonomy techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior . The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.
What You Will Do
• Algorithm Development: Develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake .
• System Design: Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack.
• Dataset Optimization: Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system..
• Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.
Basic Qualifications
• 2+ years of working experience in software engineering.
• Bachelor’s degree (or higher) in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
• Proficient in C++ and Linux environments.
Preferred Qualifications
• Experience in the Autonomous Driving domain.
• Proven track record of deploying algorithms in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning.
• Familiarity with Python.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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.