Graduate 2026 PhD Software Engineer II (AV Labs), United States

Uber • Sunnyvale, CA • 1h ago

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 PhD Software Engineer II, 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'll 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

Completing or recently completed a PhD in Computer Science, Mathematics, Physics, Computer Vision, Fluid Mechanics, Aerospace Engineering, or a related technical field

Preferred Qualifications

Experience in the Autonomous Driving domain

Proven track record of deploying algorithms in safety-critical physical systems

Knowledge of game theory

Experience with control and optimization theory as part of the course of study

Proficient in C++ and Linux environments

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.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

Uber

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