Senior Engineering Manager, AV Labs

Uber; Sunnyvale (CA); On-site; USD 267,000 - 297,000; Full time

Benefits offered by this job

Bonus program

Equity compensation

401(k) plan

Benefits

Job summary

Uber's Autonomous Vehicle Labs in Sunnyvale, CA is seeking a Sr. Manager of Engineering to lead a dedicated ML/AI team and advance state-of-the-art foundation models for real-world data.

You will guide architecture and data systems, ensuring scalable, low-latency delivery across the L4 data lake and evaluation engine. You will collaborate with PMs, Directors, and infrastructure teams to align efforts with business goals while fostering a culture of rigorous experimentation and technical

Qualifications

• 8+ years of software engineering experience in ML or autonomous systems.
• 3+ years of experience managing ML/AI teams.
• Proven experience delivering large-scale AI models or ML pipelines into production.
• Bachelor's degree in CS/CE or related field.

Responsibilities

• Lead and mentor a high-performing ML/AI engineering team.
• Drive development of autonomy algorithms and foundation models.
• Define architecture and ensure low-latency, scalable data systems.
• Collaborate with Directors, PMs, and infra teams to align ML work with business goals.

Skills

Team Leadership

Applied ML

Large‑Scale ML Systems

Python/Linux

PyTorch/TensorFlow

Education

Bachelor's degree in Computer Science or related field

MS/PhD in Robotics/ML/Computer Vision (preferred)

Tools

PyTorch

TensorFlow

Python

Linux

ML pipelines

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 Sr. Manager of Engineering, you will lead a highly specialized team of machine learning engineers and applied researchers focused on AI models and behavioral causality. You will guide the execution and development of state-of-the-art foundation models that parse complex urban edge cases, driving the technical roadmap to add rich semantics to our massive driving data. By leading the charge on understanding the "why" behind driving decisions, your team will power the L4 data and evaluation engine that serves as the ultimate data mining platform for our autonomous partners.

What You Will Do

• Team Leadership & Growth: Build, manage, and mentor a high-performing engineering team of ML experts, AI modelers, and data scientists. Foster a culture of rigorous scientific experimentation, high-velocity execution, and engineering excellence.
• AI Model Execution: Drive the day-to-day development of advanced autonomy algorithms and foundation models. Ensure your team successfully extracts high-fidelity semantic meaning from multi-modal sensor data to enrich our L4 data lake.
• Technical Strategy & Engineering Rigor: Collaborate with technical leadership to steer foundational architectural choices. Maintain uncompromising quality for deployed systems, ensuring performance is tuned for low-latency execution of large scale data.
• Cross-Functional Collaboration: Partner closely with Directors, Principal Engineers, Product Managers, and infrastructure teams to align your team's ML modeling efforts with broader business goals and ensure seamless deployment at scale.

Basic Qualifications

• 8+ years of software engineering experience in applied ML, AI modeling, or Autonomous Systems.
• 3+ years of experience managing engineering teams, with a track record of leading high-performing ML or AI organizations.
• Proven experience delivering complex, large-scale AI models or ML pipelines from conception to production.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Deep expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python/Linux environments.

Preferred Qualifications

• Advanced degree (MS or PhD) in Robotics, Machine Learning, Computer Vision, or a related field.
• Deep technical understanding of AI foundation models, multi-modal perception, and causal behavior modeling.
• Prior experience in the Autonomous Vehicle (AV) industry, specifically focused on offline evaluation, 3P data understanding, or autonomous data mining (as opposed to embedded on-car execution).
• Strong background in guiding teams to build models that process, structure, and query massive datasets to enable advanced scene representation.
• Excellent communication skills with the ability to translate complex technical concepts into strategic roadmaps for cross-functional partners.

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For all US locations, 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.