Engineering Manager II, AV Labs, Sunnyvale, United States

Uber

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Work type
On-site
Location
Sunnyvale, CA
Posted
9 days ago
Nearby
99+ roles within 25 mi

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Similar $196k
$135k most similar roles pay here $246k

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

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TL;DR · Engineering Manager II, AV Labs, Sunnyvale, United States

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As an Engineering Manager II at Uber’s AV Labs in Sunnyvale, California, you will lead a high-velocity team focused on developing and implementing cutting-edge technology for autonomous vehicle stacks. Your primary responsibilities include defining the roadmap for long-tail AV Semantics to unlock real-world driving data, communicating progress with leadership, and hiring top talent while maintaining high engineering standards. The role requires proficiency in software engineering management and experience in the AV industry, particularly in areas like perception systems. You will work with advanced technologies and tools relevant to autonomous vehicles, ensuring that Uber maintains its competitive edge through efficient data collection and analysis at scale.

Skills

Python C++ Linux Git Docker Kubernetes CI/CD AWS PostgreSQL ROS Radar Lidar Computer Vision Machine Learning Data Engineering Terraform

What you'll do

  • Define and execute the roadmap for long-tail AV Semantics to unlock real-world driving data.
  • Identify and mitigate technical risks while communicating progress to leadership.
  • Hire and lead a high-performing engineering team focused on quality.
  • Set and maintain a high bar for technical excellence in all projects.
  • Implement solutions to identified issues within self-driving technology stacks.

What we're looking for

  • At least 2 years of software engineering management experience.
  • Minimum 8 years of experience in the software engineering industry.
  • Bachelor’s degree (or higher) in computer science or related fields.
  • Proficiency in autonomous vehicle perception or related areas preferred.
  • Experience in multiple domains within the AV industry beneficial.
  • Ability to define and communicate technical roadmaps effectively.

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