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🟒 Actively Hiring Β· Posted Today ⏳ Closes in 60 days US Corridor πŸ›‘οΈ US Work Authorization 🏒 EXTERNAL

Senior Staff Engineer (Backend) - Autonomous Vehicles and Agentic AI

🏒 Uber β€’ πŸ“ San Francisco, CA β€’ πŸ•’ Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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OP-VERIF-C915B219 βœ“ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified IRS EIN & State Corporate Entity standing confirmed
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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Corridor Right-to-Work Match US Work Authorization

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Verified Analytics
Location Base
San Francisco, CA
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD β‰ˆ Β£0.79 GBP Living Standard
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Position Overview & Specifications

Senior Staff Engineer (Backend)

About the Role

We're looking for a Senior Staff Backend Engineer to set the technical direction for Uber's Autonomous Vehicle (AV) and emerging business Customer Obsession experiences. This role will own architecture across AV, Fleet, Uber for Business, and Direct integrations, helping create a unified technical foundation as these businesses grow in scale and complexity.

You'll work across engineering, product, operations, and platform teams to define scalable backend systems, prevent architectural fragmentation, and shape the next generation of customer support experiences. Key areas of focus include proactive trip-lifecycle support, Agentic AI capabilities, and building reliable end-to-end testing and quality frameworks as AV expands from pilots to multi-city, multi-partner production.

What You'll Do

  • Define the backend architecture and technical strategy for AV customer support systems.
  • Establish scalable integration patterns across Fleet, U4B, Direct, and other emerging businesses.
  • Partner with the Customer Obsession Platform team to leverage shared platform and Agentic AI capabilities.
  • Build proactive trip-lifecycle support, reliability, and end-to-end testing strategies.
  • Drive alignment across Engineering, Product, Operations, and platform teams.
  • Mentor Senior engineers toward Staff-level impact.

Basic Qualifications
  • Education: Bachelor's degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related technical field.
  • Experience: 10+ years of professional full-time software engineering experience.
  • Technical Proficiency: Strong expertise in modern backend languages-specifically Go, Java, or C++.
  • Extensive backend engineering and distributed systems experience.
  • Experience designing and operating large-scale, highly available systems.
  • Proven technical leadership across multiple teams and complex initiatives.
  • Strong system design, architecture, and cross-functional communication skills.

Preferred Qualifications
  • Experience with Generative AI, LLMs, or Agentic AI systems.
  • Experience with AV, mobility, fleet, logistics, or real-time systems.
  • Experience with customer support or workflow platforms.
  • Track record of technical leadership at Senior Staff, or equivalent scope.

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

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.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:

πŸ‡ΊπŸ‡Έ H-1B Specialty Occupation & Cap

Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.

⚑ TN / O-1 / STEM OPT Pathways

Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.

βš–οΈ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for Senior Staff Engineer (Backend) - Autonomous Vehicles and Agentic AI roles across Uber's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
Uber

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Location: San Francisco, CA
Eligibility: US Work Authorization
Schedule: EXTERNAL
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