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.
Basic Qualifications
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.
Preferred Qualifications
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.
