Senior Software Engineer – ML Infra

Category: Engineer

Location: Sunnyvale, CA, United States; San Francisco, CA, United States; Seattle, WA, United States

Schedule: Full time, Level 5Posted: 2026-08-13Sr Software Engineer - AI Infra - Training

What you'll do: 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. 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: 6+ 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.

Responsibilities: 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 Seattle, WA-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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

About the company: 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.