Drimva

Uber

Staff Software Engineer - AI Developer Platform (AIFX)

$232K–$258K

San Francisco, California +2 · Staff · Full-time · Posted Oct 22, 2026

Location
San Francisco, California
Seattle, Washington
Sunnyvale, California
Experience
8+ years of professional software engineering experience.
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

About the job

Sets technical direction and builds platforms for AI agents that plan, code, review, verify, and ship software across Uber.

What you'll do

  • Lead the evolution of AIFX’s agentic software factory and define its long-term technical vision.
  • Prototype, design, and ship critical platform components, setting standards for evaluation, reliability, and cost.
  • Align partner organizations and leadership, mentor senior engineers, and represent the platform externally.

What they ask for

  • 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, such as Go, Java, Python, or TypeScript.
  • Experience setting technical direction for multi-team or org-wide projects through inception, stakeholder alignment, implementation, and operations.

Nice to have

  • Experience shipping LLM-powered agents or developer tools to production at scale and defining their evaluation.
  • Experience with agent harnesses and protocols, workflow orchestration or durable execution systems, and multi-year developer infrastructure strategy.

Pay

USD $232,000 per year - USD $258,000 per year (base salary)

Tools

Go, Java, Python, TypeScript, Claude Code, Claude Agent SDK, Codex, OpenCode

AI focus

Builds and leads platforms for agentic AI in software development, including coding agents, AI code review, agent evaluation, governance, and cost controls.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 4, 2026 (UTC)