Software Engineer II

Uber

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Posted
67 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $156k
$98k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $134,350–$177,475.

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 22 open roles on FindRole.

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At a glance

TL;DR · Software Engineer II

As a Software Engineer II - AV Labs, you will join a high-velocity team focused on the autonomous technology ecosystem to solve the challenge of unlocking real-world, long-tail driving data. You will work at the forefront of Physical AI, developing advanced autonomy algorithms to add rich semantics to massive driving data and implementing techniques for better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. Your daily responsibilities include designing onboard systems, managing upstream sensor dependencies, defining requirements for high-quality evaluation datasets, and collaborating with platform, product, and security teams to deploy machine learning into production. The role requires proficiency in C++, Python, and Linux environments. You will apply these skills to develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases within the autonomous driving domain.

What does a Software Engineer earn in California?

Median $214000 from 769 postings across 67 companies.

See salary data

What you'll do

  • Develop algorithms to extract high-fidelity semantic meaning from complex urban edge cases.
  • Enrich the L4 data lake by identifying and solving for long-tail driving scenarios.
  • Architect onboard systems including management of upstream sensor dependencies.
  • Define requirements and objective metrics for high-quality large evaluation datasets.
  • Implement advanced autonomy techniques for deep scene understanding and causal modeling.
  • Deploy machine learning techniques into production in collaboration with platform and product teams.

What we're looking for

  • 2+ years of working experience in software engineering.
  • Bachelor’s degree (or higher) in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
  • Experience in the Autonomous Driving domain (preferred).
  • Proficiency in C++ and Linux environments (preferred).
  • Proven track record of deploying algorithms in safety-critical physical systems (preferred).
  • Master’s or PhD degree in Computer Vision, Game Theory, Robotics, or Machine Learning (preferred).
  • Familiarity with Python (preferred).

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