Senior Software Engineer

Uber

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Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $169k

$109k $223k

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This listing doesn't post a salary. Most similar roles pay $149,500–$189,212.

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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 70 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer

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JOB TITLE: Sr Software Engineer - Engineer As a Sr Software Engineer, you will join the AV Labs team to accelerate the autonomous technology ecosystem by turning real-world operations into high-quality data. You will focus on the challenge of unlocking long-tail driving data by building advanced autonomy algorithms that add rich semantics to massive driving data. Your daily responsibilities include leading algorithm development to extract high-fidelity semantic meaning from complex urban edge cases, designing onboard systems, and managing upstream sensor dependencies. You will architect scalable solutions and collaborate with platform, product, and security engineering teams. The role requires proficiency in C++ and Linux environments, with preferred experience in Python and the autonomous driving domain. You will solve technical problems involving deep scene understanding and causal modeling of ego vehicle behavior.

What does a Software Engineer earn in California?

Median $214500 from 1223 postings across 78 companies.

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Skills

C++ Python Linux Computer Vision Machine Learning Robotics Systems Architecture Algorithm Development Causal Modeling Data Mining Autonomous Driving Physical AI

What you'll do

Lead the development of autonomy algorithms to extract semantic meaning from complex urban edge cases.
Enrich the L4 data lake by implementing techniques for deep scene understanding and causal modeling.
Architect onboard systems including management of upstream sensor dependencies and evaluation metrics.
Build scalable software solutions designed for high availability and large-scale production environments.
Identify complex edge cases and provide robust algorithmic solutions for physical AI systems.
Partner with platform, product, and security teams to deploy onboard systems into production.

What we're looking for

4+ years of working experience in software engineering.
Bachelor’s degree in Mathematics, Physics, Computer Science, Computer Engineering, or related fields.
Proficiency in C++ and Linux environments.
Experience in the Autonomous Driving domain (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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