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 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 DoSet 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 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.
- 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.
- 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 Sunnyvale, 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.
About UsReady 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.
Skills Required
- 8+ years of professional experience in robotics or autonomous systems
- Experience leading large-scale technical projects from conception to production
- Bachelor's degree in Mathematics, Physics, Computer Science, Computer Engineering, or a related field
- Expert-level proficiency in Python and Linux environments
- PhD in Computer Vision, Game Theory, Robotics, or Machine Learning focused on autonomous driving
- Extensive experience with C++, CUDA, and high-performance system optimization
- Deep understanding of Robot Operating System or similar autonomous middleware
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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