Autonomy Data & Algorithms Engineer

Uber; Sunnyvale (CA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is building out a dedicated AV Labs in Sunnyvale, focused on turning real-world driving data into high-quality data for autonomous partners. The role involves developing advanced autonomy algorithms, designing onboard systems, and optimizing large evaluation datasets to improve ego-vehicle behavior understanding.

You will collaborate across platform, product, and security teams to deploy ML techniques at scale.

Qualifications

• 2+ years of software engineering experience.
• Bachelor's degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
• Experience in the Autonomous Driving domain.
• Proficient in C++ and Linux environments.
• Master's or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning.
• Familiarity with Python.

Responsibilities

• 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 requirements for high-quality large evaluation datasets and objective metrics to evaluate system performance.
• Cross-Functional Collaboration: partner with platform, product, and security engineering teams to deploy ML techniques into production.

Education

Bachelor's degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields

Master's or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning

Tools

C++

Linux

Python

Job description

Uber is building out a dedicated AV Labs in Sunnyvale, focused on turning real-world driving data into high-quality data for autonomous partners. The role involves developing advanced autonomy algorithms, designing onboard systems, and optimizing large evaluation datasets to improve ego-vehicle behavior understanding.

You will collaborate across platform, product, and security teams to deploy ML techniques at scale.