Sr Software Engineer, MLE - AV Labs

Uber Technologies Inc.; Sunnyvale (CA); On-site; USD 202,000 - 224,000; Full time

Job summary

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.

Qualifications

• 4+ years of ML/Robotics experience.
• Bachelor’s degree in CS/CE or related field.
• Proficient in Python and Linux environments.
• Familiar with PyTorch.
• Experience in Autonomous Driving domain.
• Proven track record deploying ML models in safety-critical physical systems.
• Master’s or PhD in Computer Vision, Robotics, or ML.
• Familiarity with C++ and high-performance computing.

Responsibilities

• Lead development of autonomy algorithms and foundation models to extract high-fidelity semantic meaning from complex urban edge cases.
• Architect scalable ML systems, including management of upstream sensor dependencies.
• Partner with fellow engineers to architect, design, and build scalable ML solutions for production.
• Deliver high-quality datasets to accelerate ML technologies through sensor data collection, processing, and auto-labeling.
• Collaborate with platform, product, and security teams to deploy ML techniques into production.

Skills

4+ years ML/Robotics experience

Python

Linux

PyTorch

Education

Bachelor's degree in Computer Science/Computer Engineering or related field

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

Tools

C++

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.

What the Candidate Will Do

• Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
• Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
• Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
• Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• 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

• 4+ years of working experience in the ML/Robotics industry.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• Experience in the Autonomous Driving domain.
• Proven track record of deploying ML models in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning.
• Familiarity with C++ and high-performance computing.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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. 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.