Staff Software Engineer - ML AV Labs

Uber; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Comprehensive benefits

Job summary

Uber is launching AV Labs in Sunnyvale, CA, seeking a Staff ML Engineer to advance Physical AI by building autonomous data-centric systems. You will set technical direction for ML algorithms and architecture, enabling scalable data mining and semantic understanding of complex driving scenarios.

The role emphasizes mentorship, cross-organizational collaboration, and platform evolution to support rapid experimentation and deployment of foundation models for autonomous driving.

Qualifications

• 8+ years of experience in ML/Robotics/Autonomous Systems.
• Proven experience leading large-scale technical projects from conception to production.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.

Responsibilities

• Set the technical roadmap and lead the delivery of state-of-the-art ML systems.
• Design and oversee the implementation of large-scale ML systems with upstream sensor data.
• Mentor senior and lead engineers and influence the technical direction across teams.
• Define requirements for high-quality datasets and auto-labeling systems.
• Bridge AV Labs with other Uber engineering units to deploy autonomy at scale.

Skills

Python

Linux

PyTorch

Education

Bachelor's degree in Computer Science / Computer Engineering

PhD in Computer Vision / Robotics / Machine Learning

Tools

C++

CUDA

ROS

Job description

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 ML 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 machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. 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: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
• 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 datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
• 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 ML, Robotics, or Autonomous Systems industry.
• Proven experience leading large-scale technical projects from conception to production.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Expert-level proficiency in Python and Linux environments.
• Deep expertise in modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• PhD degree in Computer Vision, 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.
• Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
• Experience building and scaling "Foundation Models" for physical world interaction.

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

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.