Jobs
Benefits & Perks
•Competitive salary and equity package
•Professional development budget
•Team events and activities
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Equity
•Learning
•Healthcare
Required Skills
Python
JavaScript
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
About the Role
At Uber, we are building a Graph Engineering team to design, implement, and operate a next-generation graph platform powered. In this role, you will be instrumental in defining the architecture, data models, and operational best practices for our enterprise-scale graph database. As a Senior Engineer on the team, you will help design, build, and operate a large-scale graph infrastructure that powers critical business usecases and agentic AI experiences across multiple teams at Uber.
You will work closely with cross-functional teams-product, AI/ML, Risk, and platforms-to unlock insights from highly connected data, support advanced analytics, and enable agentic AI workflows .
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design and develop architecture of a new graph platform - prioritizing scalability, reliability, and efficiency.
- Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
- Optimize existing infrastructure pieces for efficiency, speed, and accuracy.
- Devise and implement solutions that seamlessly scale with the growing needs of our user base.
- Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement
Basic Qualifications
- BS or MS in Computer Science or a related technical discipline, or equivalent experience
- 6+ years of full-time engineering experience
- Highly proficient in one of the following programming languages: Java, Go, C/C++ and ability to pick up new ones.
- Systematic problem-solving approach and knowledge of algorithms, data structures and complexity analysis.
- Experience building graph systems/databases
Preferred Qualifications
-
Deep experience with building and operating graph systems / databases (ex, Neo4j with experience in building Cypher based or equivalent graph DSL)
-
Proven track record designing opinionated schema for knowledge graphs / enterprise graphs.
-
Familiarity with LLMs, retrieval augmented generation (RAG), or AI / ML agentic workflows is a big plus.
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Strong problem-solving skills and ability to articulate graph-based solutions to non-graph engineers.
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Experience with highly available/fault-tolerant, replicated data storage systems, or enterprise/cloud storage systems
-
3+ years of experience building and managing distributed systems.
-
For San Francisco, CA-based roles: The base salary range for this role is USD**$202,000 per year**
-
USD**$224,000 per year**.
-
For Sunnyvale, CA-based roles: The base salary range for this role is USD**$202,000 per year**
-
USD**$224,000 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.
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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, Sunnyvale, CA
Job ID: Uber-152173
Employment Type: FULL_TIME
Posted: 2025-12-17T00:33:31
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
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
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