Senior Engineering Manager, AV Labs

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 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.

Pay & Benefits

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 compensation. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.