UB
UberStaff Software Engineer - Engineer
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Before you apply
SalaryNo pay range posted
LocationSunnyvale, CA, United States
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentEngineering
EquityIncluded
Company size10,000+ people
First seenOct 30, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
8+ years of professional experience building scalable, fault-tolerant products or platforms
Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript)
Proficiency in state of the art deep learning technologies, such as distributed training frameworks, LLMs, GPU optimizations
Proven experience leading large-scale engineering projects through the entire lifecycle
Expertise in making complex engineering/business tradeoffs
Experience identifying architectural gaps and acting as a multiplier to reduce technical debt
Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
Advanced degree (Master's or PhD) with a focus on distributed computing, system performance, or machine learning
Experience contributing to open-source projects or leading industry-level technical discussions
Ability to anticipate future business needs and develop extensible, modular designs
Skills
Go
C/C++
Java
Python
JavaScript
distributed training frameworks
LLMs
GPU optimizations
Benefits
Equity
Bonuses
About the role
Staff Software Engineer - AI Infra - Training
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
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Design and build end-to-end systems for Uber’s ML training stack. Solve the scaling challenges on very large datasets and models.
•
Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
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Build innovative solutions that leverage statistical analysis to diagnose performance regressions and optimize resource utilization across complex infrastructures.
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Create best-in-class tools and frameworks that increase the velocity and quality of hundreds of internal engineering teams.
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Lead and mentor engineers, reviewing code and designs while fostering a culture of continuous learning and humility.
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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
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8+ 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.
•
Proficiency in state of the art deep learning technologies, such as distributed training frameworks, LLMs, GPU optimizations, etc.
•
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.
•
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.
Benefits
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.
Legal
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.