What roles does Uber hire for?

Uber commonly hires for software engineer, machine learning engineer, data scientist, product manager, mobile developer.

Uber Resume Guide: Tips, Keywords & Examples (2026)

Does Uber sponsor H-1B visas?

Yes. Uber is an active H1B sponsor. It filed 342 certified H1B labor condition applications in FY2026 (Oct 2025 - Mar 2026), at a median certified wage of $198,500. The most sponsored role is Software Developers. Certified filings are the legal minimum wage the employer attests to pay, so actual total pay is often higher.

See Uber’s full H1B salary and sponsorship data

What It's Like to Work There

Post-Kalanick Uber is more mature and less aggressive, but still fast-paced. Engineering-driven. Strong emphasis on cultural values and inclusive behavior. Good compensation. The work is genuinely interesting at scale.

Resume Tips for Uber

Real-time systems experience is valuable. If you've built location services, dispatch systems, or marketplace matching algorithms, lead with it.

Show experience with high-availability systems. Uber can't go down and they need engineers who build for reliability.

Highlight mobile development experience. Uber's rider and driver apps are central to their business.

Include experience with pricing, marketplace dynamics, or economic modeling. Uber's business depends on dynamic pricing and supply-demand matching.

Show you can work across multiple countries and markets. Uber operates in 70+ countries with different regulations and requirements.

Mention Go, Java, or Python experience. These are the primary backend languages at Uber.

Hiring Process

Recruiter screen, then a technical phone interview (coding)

Onsite or virtual loop with 4-5 interviews: 2 coding, 1 system design, 1 behavioral, 1 hiring manager

System design interviews are particularly important at Uber given the real-time nature of their systems

Process takes 2-3 weeks

Interview Style

Standard big tech format: coding, system design, and behavioral. System design rounds are particularly deep because Uber's infrastructure is complex. They want to see you think about real-time constraints, geographic distribution, and reliability.