Senior Software Engineer, AV Labs

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CA
Posted
2 days ago

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How this pay compares to similar roles

Similar $186k
$119k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $155,135–$217,725.

Based on 240 similar postings.

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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.

Uber currently has 45 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer, AV Labs

As a Senior Software Engineer at AV Labs, you will join a cutting-edge team focused on Physical AI to develop advanced autonomy algorithms that enhance data mining and deep scene understanding for autonomous driving systems. Your daily responsibilities include identifying complex edge cases, implementing robust solutions, and ensuring high technical standards in algorithm deployment. You will work with C++ and Linux environments, leveraging your expertise in mathematics, physics, or computer science to tackle safety-critical challenges. Preferred candidates have experience in the autonomous driving domain, a track record of deploying algorithms in physical systems, and familiarity with Python, making significant contributions to causal modeling and vehicle behavior analysis at scale.

What you'll do

  • Develop advanced autonomy algorithms for semantic understanding in driving data.
  • Implement techniques for deep scene understanding and causal modeling of vehicle behavior.
  • Identify complex edge cases and provide robust algorithmic solutions.
  • Set high standards for technical excellence in physical AI projects.
  • Deploy algorithms in safety-critical systems within the autonomous driving domain.

What we're looking for

  • 4+ years of software engineering experience.
  • Bachelor’s degree in Mathematics, Physics, Computer Science, or related fields.
  • Proficient in C++ and Linux environments.
  • Experience in Autonomous Driving domain preferred.
  • Proven track record deploying algorithms in safety-critical systems.
  • Master’s or PhD in Computer Vision, Game Theory, Robotics, or Machine Learning.

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