AV Labs Architect & Tech Leader - Strategy & Data Platforms

Uber

Sunnyvale (CA)

On-site

USD 302,000 - 336,000

Full time

14 days+

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Benefits offered by this job

Bonus program
Equity award
401(k) plan
Benefits

Job summary

Uber is building AV Labs in Sunnyvale, CA to accelerate autonomous technology by turning real-world operations into high-quality data for autonomous partners. This role leads the technical strategy across complex algorithms, data platforms, and autonomy infrastructure to extract high-fidelity semantic meaning from urban edge cases for the L4 data lake.

You will mentor senior engineers, define evaluation datasets, and influence multiple teams while ensuring integration with Uber's core

Qualifications

  • 10+ years of experience in software, robotics, or autonomous systems.
  • Proven leader of large-scale technical programs from conception to production.
  • BS in CS/CE/Math/Physics or related field; MS/PhD preferred.

Responsibilities

  • Define the strategic technical vision for AV Labs' engineering initiatives and roadmaps.
  • Oversee architecture and system design for sensor dependencies and simulation frameworks.
  • Mentor senior, staff, and lead engineers and set engineering standards.
  • Drive platform evolution for high-quality evaluation datasets and data mining capabilities.
  • Bridge AV Labs with other Uber engineering units to ensure integration and deployment.

Skills

Python
C++
Linux

Education

Bachelor's degree in CS/CE/Math/Physics
MS or PhD in CS/Robotics/CS Vision or related field

Tools

ROS
CUDA

Job description

Uber is building AV Labs in Sunnyvale, CA to accelerate autonomous technology by turning real-world operations into high-quality data for autonomous partners. This role leads the technical strategy across complex algorithms, data platforms, and autonomy infrastructure to extract high-fidelity semantic meaning from urban edge cases for the L4 data lake.

You will mentor senior engineers, define evaluation datasets, and influence multiple teams while ensuring integration with Uber's core

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