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 Staff Software Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of algorithms that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior in an environment full of subtle negotiations. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.
What the Candidate Will Do
Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:
- Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
- Architecture & System Design: Architect complex onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack..
- Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
- Platform Evolution: Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system.
- Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.
Basic Qualifications
- 8+ years of working experience in the Robotics or Autonomous Systems industry.
- Proven experience leading large-scale technical projects from conception to production.
- Bachelor’s degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
- Expert-level proficiency in Python and Linux environments.
Preferred Qualifications
- PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning with a focus on Autonomous Driving.
- Extensive experience with C++, CUDA, and high-performance system optimization.
- Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.