Staff Software Engineer – AV Labs

Uber

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA · Sunnyvale, CA
Salary: $232,000–$232,000 / yr
Posted: 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $232k

$131k most similar roles pay here $255k

This role pays more than 86% of similar roles. Most pay $165,000–$218,525 — the shaded band above. At the midpoint, this role pays about $232k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

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 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Staff Software Engineer – AV Labs

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As a Staff Software Engineer at AV Labs, you will lead the development of advanced autonomy algorithms and models to enhance data mining and deep scene understanding in complex urban environments. You will set technical direction by architecting sophisticated onboard systems and defining high-quality evaluation datasets for performance metrics. Your role involves mentoring senior engineers and influencing multiple teams to foster a culture of rigorous experimentation and excellence. Additionally, you will collaborate across the organization to integrate autonomous technology at scale. Ideal candidates have 8+ years of experience in Robotics or Autonomous Systems, with expertise in Python, Linux, and C++. Proficiency in CUDA for high-performance system optimization and knowledge of ROS are highly desirable. This role demands a deep understanding of Machine Learning and Computer Vision, particularly as they apply to autonomous driving challenges at large scale.

Skills

Python Linux C++ CUDA ROS Machine_Learning Computer_Vision Robotics Autonomous_Systems High_Performance_System_Optimization Algorithm_Development System_Design Technical_Mentorship Platform_Evolution Cross_Organizational_Leadership

What you'll do

Lead the development of autonomy algorithms for extracting semantic meaning from complex urban driving data.
Architect onboard systems to manage sensor dependencies and evaluate performance metrics effectively.
Mentor senior engineers and influence technical direction across multiple teams in AV Labs.
Define requirements for high-quality datasets and objective metrics to assess system performance.
Bridge AV Labs with other engineering units to ensure successful integration of autonomous technology.

What we're looking for

8+ years of experience in Robotics or Autonomous Systems industry.
Proven track record leading large-scale technical projects to production.
Expert-level proficiency in Python and Linux environments.
PhD in Computer Vision, Game Theory, Robotics, or Machine Learning related to Autonomous Driving.
Extensive experience with C++, CUDA, and high-performance system optimization.
Deep understanding of Robot Operating System (ROS) or similar autonomous middleware.

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