
Staff Software Engineer - Engineer
Immigration summary
Visa sponsorship
This employer sponsors this kind of work repeatedly, and is still filing this year.
775 recent H-1B filings · 348 similar-role filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
355 recent certified PERM filings · 194 similar-role filings
View green card evidenceJob description
Cleaned Document
About the role and team
Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Staff Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. Our mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.
This is a role for a proven, large-scale systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You’ll need to make smart decisions with imperfect information and own the outcomes of global architectural choices. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you’ll make your mark.
What you’ll do
- Design and build end-to-end systems for orchestration, monitoring, or frameworks that stand the test of massive global scale and high availability.
- Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
- Build innovative solutions that leverage statistical analysis to diagnose performance regressions and optimize resource utilization across complex infrastructures.
- Create best-in-class tools and frameworks that increase the velocity and quality of hundreds of internal engineering teams.
- Lead and mentor engineers, reviewing code and designs while fostering a culture of continuous learning and humility.
- Work cross-functionally with Product, Data Science, and Operations across the globe to drive large-scale projects and align technical investments with business value.
Basic Qualifications
- 10+ years of professional experience building scalable, fault-tolerant products or platforms, with a track record of solving strategically important problems.
- Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript) and the ability to define organization-wide standards.
- Proven experience leading large-scale engineering projects through the entire lifecycle from inception to global productionization.
- Expertise in making complex engineering/business tradeoffs, managing the implications of "buy vs. build" or "incremental vs. rewrite" decisions.
- Experience identifying architectural gaps and acting as a multiplier to reduce technical debt across the organization.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Preferred Qualifications
- Advanced degree (Master’s or PhD) with a focus on distributed computing, system performance, or machine learning.
- Hands-on experience with Linux internals, container orchestration, or modern security architectural patterns.
- Experience contributing to open-source projects or leading industry-level technical discussions.
- Ability to anticipate future business needs and develop extensible, modular designs that meet long-term scalability targets.
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.
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
1 of 563 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 775
- recent certified H-1B filings
- 377
- new-hire petitions
- 348
- filings for similar roles
- 682
- so far in FY2026
Filed titles like this role: software engineer · software engineer i · software engineer - machine learning · software engineer - backend segments growth
More evidence details
- 348 certified H-1B filings for this same role, 377 new-hire petitions across the employer, and 396 new hires already this year
- 348 certified H-1B filings for this same role
- 775 recent certified H-1B filings across the employer
- Still filing this year — 682 filings in FY2026
- 373 USCIS H-1B new-employment approvals, counted separately from LCA filings
- 1,813 further USCIS approvals for extensions or transfers
- 1 other recent posting at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
- No filing activity is recorded for this job's location
Green card sponsorship evidence
Employer PERM history
- 355
- recent certified PERM filings
- 194
- filings for similar roles
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at UberHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 350 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.