Software Engineer II

Uber

Confirmed live today Low trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Posted: 115 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $150k

$98k $205k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $123,750–$175,500.

Based on 239 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 104 open roles on FindRole.

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At a glance

TL;DR · Software Engineer II

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As a Software Engineer II - AV Labs, you will join a multi-disciplinary team focused on unlocking real-world, long-tail driving data for autonomous technology. You will develop advanced autonomy algorithms to add rich semantics to massive driving data, specifically focusing on deep scene understanding and causal modeling of ego vehicle behavior. Your daily responsibilities include architecting onboard systems, managing upstream sensor dependencies, and defining requirements for high-quality large evaluation datasets. You will collaborate with platform, product, and security engineering teams to deploy machine learning techniques into production. The role requires proficiency in C++, Python, and Linux environments. You will apply your expertise in mathematics, physics, computer science, or computer engineering to solve complex edge cases within safety-critical physical systems and urban driving environments.

What does a Software Engineer earn in California?

Median $214500 from 1116 postings across 75 companies.

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Skills

C++ Python Linux Machine Learning Computer Vision Robotics Algorithm Development System Design Data Mining Causal Modeling Physical AI

What you'll do

Develop algorithms to extract high-fidelity semantic meaning from complex urban edge cases.
Enrich the L4 data lake with high-quality, real-world driving data.
Architect onboard systems and manage upstream sensor dependencies.
Define evaluation metrics and requirements for high-quality large evaluation datasets.
Implement autonomy techniques for deep scene understanding and causal modeling.
Deploy machine learning techniques into production environments.
Identify complex edge cases and provide robust algorithmic solutions.

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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