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Sr Software Engineer (AV / Autonomous Vehicles)

Uber

Sr Software Engineer (AV / Autonomous Vehicles)

Uber

Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$202,000 - $224,000

Benefits & Perks

401(k) matching

Parental leave

Team events and activities

Flexible work arrangements

Parental Leave

Flexible Hours

Required Skills

React

TypeScript

PostgreSQL

About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10000+ employees
Industry: Technology

View Company Profile

About the Role

The Customer Obsession (CO) team is looking for a Sr Software Engineer with a passion for delivering delightful customer experiences through a large scale, easy-to-use and full stack customer engagement platform, powered by ML/AI - Specifiucally working on AV / Autonomous Vehicles related projects.

The (CO) team is responsible for building magical customer care experiences for our riders, eaters, delivery partners, merchants and agents. We deliver these experiences over web, mobile, using text, voice or video based interactions for all products globally. We provide simple self-service to our customers to make it easy for them to resolve their problems. When agents need to interact with our customers, we provide the technology to enable them to efficiently solve customer problems.

We are a customer first culture and team, and that reflects in how we prioritize what is right for the customers in a data driven fashion by building products and features that provide the best in class experiences. That can be hard, but we refuse to settle. Instead, we innovate at every aspect of a customer's journey to deliver magical experiences for drivers, riders, eaters and businesses using Uber's CO platform.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do --- Technical Leadership:

  • Design and develop scalable, fault-tolerant systems to support customer interactions globally.
  • Set technical direction for large-scale projects, ensuring alignment with Uber's overall engineering and business objectives.

Collaboration & Mentorship:

  • Partner with cross-functional teams, including Product, Data Science, and Operations, to define requirements and deliver impactful solutions.
  • Mentor and coach junior engineers, fostering a culture of technical excellence and continuous learning.
  • Collaborate with global engineering teams to ensure seamless integration and consistent user experiences.

Problem Solving & Innovation:

  • Identify bottlenecks in the customer support lifecycle and propose innovative solutions.
  • Leverage emerging technologies to enhance the efficiency of tools used by customer support agents.
  • Drive initiatives to improve system performance, reliability, and cost-effectiveness.

Ownership & Execution:

  • Own the development and delivery of critical systems from inception to production.
  • Establish best practices for coding, deployment, and incident management within the team.
  • Work closely with leadership to prioritize and manage engineering roadmaps.

---- Basic Qualifications ----

  • Bachelor or equivalent in Computer Science, Engineering, Mathematics or related field
  • Programming language (e.g. C, C++, Java, Python, or Go)
  • Experience with full-stack large scale, distributed systems
  • Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
  • Excellent written and verbal communication skills, including the ability to write detailed technical documents.
  • Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring, deployment and post production practices.

---- Preferred Qualifications ----

  • Experience in software development in the Autonomous Vehicle's sector

  • Experience in applying AI-powered tools and frameworks in line with modern industry practices and innovation trends.

  • Customer service and engagement tech experience

  • Experience working with distributed teams

  • Product engineering

  • Scalability engineering

  • Deep, industry leading expertise in one or more technology domains and are the "-to" person for one or more areas of their business.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$202,000 per year**

  • USD**$224,000 per year**.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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.

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.

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Client-provided location(s): Sunnyvale, CA

Job ID: Uber-152884

Employment Type: FULL_TIME

Posted: 2026-01-13T00:29:08
Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

Fertility Benefits:

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Pet-friendly Office
  • Snacks
  • Some Meals Provided
  • On-Site Cafeteria

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • Company Equity
  • Performance Bonus

Professional Development

  • Work Visa Sponsorship
  • Associate or Rotational Training Program
  • Promote From Within
  • Mentor Program
  • Access to Online Courses

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Diversity, Equity, and Inclusion Program

Apply on company site

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge