Software Engineer II - AV Labs

Uber; Sunnyvale (CA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Equity award

401(k) plan

Additional benefits

Job summary

Uber is seeking a Software Engineer in Sunnyvale, CA, to join AV Labs and contribute to the development of self-driving technology. The ideal candidate will design tools for vehicle operations and metrics for data health monitoring. A Bachelor's degree in computer science and proficiency in Python are required, along with at least 2 years of industry experience.

The salary for this position ranges from USD$171,000 to USD$190,000. Employees are eligible for benefits, a bonus program, and a 401(k) plan.

Qualifications

• Minimum of 2 years of working experience in the software engineering industry.
• Autonomous vehicles or robotics background preferred.
• Experience with L4 Autonomy companies beneficial.

Responsibilities

• Design and implement the metrics and dashboard to monitor data collection health.
• Design and implement tools to facilitate vehicle operations.

Skills

Python

Linux

Education

Bachelor degree in computer science, computer engineering or related fields

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high‑velocity team of multi‑disciplinary experts to turn real‑world operations into high‑quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real‑world, long‑tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real‑world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real‑world complexity to reimagine how the world moves.

You will be a software engineer in AV Labs and involved in the development and implementation of the latest technology for self‑driving stacks. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do.

What the Candidate Will Do

1. Design and implement the metrics and dashboard to monitor data collection health.
2. Design and implement tools to facilitate vehicle operations.

Basic Qualifications

1. Minimum of 2 years of working experience in the software engineering industry.
2. Bachelor degree in computer science, computer engineering or related fields.
3. Proficient in Python and Linux.

Preferred Qualifications

1. 3 years of working experience.
2. Autonomous vehicles or robotics background.
3. 2+ years of working experience with L4 Autonomy companies.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year – USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, may be offered an equity award and other types of compensation. All full‑time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Work Location and Conditions

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green‑light hubs, employees are expected to be in‑office for 100% of their time. Please speak with your recruiter to better understand in‑office expectations for this role.

Equal Opportunity Employer

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.