As a Staff Software Engineer on Uber's AI Foundations & Developer Experience (AIFX) team, you will set technical direction across multiple AIFX projects and lead efforts that reach engineering teams across Uber. You'll help define how AI agents plan, build, review, verify, and ship software at Uber, and turn that vision into platforms thousands of engineers depend on. You'll make long-term architectural bets in a space where models and agent harnesses change month to month, while keeping today's systems reliable.
About the TeamUber's AI Foundations & Developer Experience (AIFX) team, part of Developer Platform, is a centralized, cross-monorepo team building the next generation of agentic AI systems for Uber's engineers. We design and run in-house developer agents and AI-first tooling, and we integrate them deeply across Uber's monorepos (Go, Java, Python, web, and mobile) and its engineering ecosystem. Our goal: help teams across the company ship code at scale with more speed, better quality, and less toil.
What we own today:
- AIFX CLI & agent harness layer: a single way for engineers to install, configure, and run AI coding agents (Claude Code, Codex, OpenCode, and others) with consistent settings, plugins, skills, and MCP servers across laptops, devpods, and CI.
- Background coding agents (Minion): a platform that runs autonomous coding tasks at scale, from bug fixes and migrations to CI repair, and turns them into reviewable pull requests.
- AI code review (uReview): LLM-powered review on code changes across Uber's monorepos, with team-level customization.
- Agent governance & cost controls: model routing, spend caps, usage analytics, and evaluation, so that AI adoption stays reliable, secure, and cost-efficient.
We work closely with Developer Platform partners (CI, Submit Queue, DevPod, IDE), Michelangelo (ML platform), Security, and product engineering teams. We also work with frontier model providers. Our team has presented its work externally at multiple conferences, including at DPE Summit.
What the Candidate Will Do- Set technical direction for the AIFX software factory: lead the evolution of a software factory where durable, multi-day agent workflows orchestrate planning, coding, review, and verification to turn a spec into a verified, landable change.
- Define the future of AI in Uber's SDLC: drive the long-term vision for how engineering at Uber works with AI agents, from planning and coding to review, verification, and release, and align Developer Platform and Engineering leadership behind it.
- Shape the wider Uber AI ecosystem: partner with platform and product engineering orgs across Uber so AI agents work across every codebase and workflow, and set the standards other teams build on.
- Lead the hardest problems hands-on: prototype, design, and ship critical components, and set the bar for evaluation, reliability, and cost across AIFX systems.
- Grow technical leaders: mentor senior engineers and tech leads, run design reviews, and represent Uber's AI developer platform with industry partners, model providers, and the external engineering community.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of professional software engineering experience, including building and operating large-scale backend services or developer platforms in production.
- Proficiency in at least one major programming language (e.g., Go, Java, Python, or TypeScript).
- Experience setting technical direction for multi-team or org-wide projects through all stages: inception, stakeholder alignment, implementation, and operations.
- Track record of shipping LLM-powered agents or developer tools to production at scale, and of defining how they are evaluated (golden datasets, LLM-as-judge, online experiments).
- Deep experience with agent harnesses and protocols (Claude Code / Claude Agent SDK, Codex, OpenCode, MCP) and with workflow orchestration or durable execution systems (e.g., Cadence, Temporal).
- Experience defining multi-year technical strategy for developer infrastructure (build, CI/CD, code review, large monorepos) and earning buy-in across orgs and leadership.
- Recognized technical leadership beyond your team: mentoring senior engineers and representing your org in the broader technical community (talks, open source, publications).
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 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 UsReady 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.
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 8+ years of professional software engineering experience
- Experience building and operating large-scale backend services or developer platforms in production
- Proficiency in at least one major programming language, such as Go, Java, Python, or TypeScript
- Experience setting technical direction for multi-team or organization-wide projects through inception, stakeholder alignment, implementation, and operations
- Experience shipping LLM-powered agents or developer tools to production at scale
- Experience defining evaluations using golden datasets, LLM-as-judge, or online experiments
- Deep experience with agent harnesses and protocols such as Claude Code, Claude Agent SDK, Codex, OpenCode, or MCP
- Experience with workflow orchestration or durable execution systems such as Cadence or Temporal
- Experience defining multi-year technical strategy for developer infrastructure, including build, CI/CD, code review, or large monorepos
- Recognized technical leadership through mentoring senior engineers and representing an organization in the broader technical community
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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