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Staff Software Engineer - Mobility Simulation & Planning

Uber

Staff Software Engineer - Mobility Simulation & Planning

Uber

New York, NY; San Francisco, CA; Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$232,000 - $258,000

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Flexible work arrangements

401(k) matching

Equity

Healthcare

Flexible Hours

Required Skills

React

Python

TypeScript

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 role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, and dynamic trip pricing based on marketplace conditions.

The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that directly impact Uber's global business.

What You Will Do:

  • Lead the design and architecture of a high-performance infrastructure, prioritizing scalability, reliability, and efficiency.
  • Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
  • Optimize existing tech stack for efficiency, speed, and accuracy.
  • Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement

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Basic Qualifications:

  • BS or MS in Computer Science or a related technical discipline, or equivalent experience.
  • 8+ years of full-time engineering experience- Highly proficient in one of the following programming languages: Python, Java, Go, C/C++ and ability to pick up new ones.
  • Systematic problem-solving approach and knowledge of algorithms, data structures and complexity analysis.

Preferred Qualifications:

  • 5+ years of experience building and managing distributed systems.

  • Experience building an Observability or Metrics system.

  • Experience integrating end-to-end ML models at scale.

  • For New York, NY-based roles: The base salary range for this role is USD**$232,000 per year**

  • USD**$258,000 per year**.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$232,000 per year**

  • USD**$258,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$232,000 per year**

  • USD**$258,000 per year**.

For all US locations, 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.

Client-provided location(s): San Francisco, CA, New York, NY, Sunnyvale, CA

Job ID: Uber-150627

Employment Type: FULL_TIME

Posted: 2025-12-02T20:19:31
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