Principal Engineer - AI Tools

Uber Uber · Consumer · Sunnyvale, CA +2 · Engineering

Principal Engineer to lead the strategy and architecture of AI-powered developer tools at Uber, impacting thousands of engineers across the entire software development lifecycle. The role involves designing and implementing novel systems using LLMs and ML to improve developer velocity, code quality, and enable new agentic AI features.

What you'd actually do

  1. Architect and drive the long-term technical vision and roadmap for AI-powered developer tools and infrastructure at Uber.
  2. Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience.
  3. You’ll make sure the solutions you build concretely and measurably deliver, and show step-change improvements in key engineering metrics, including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches.
  4. Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership.
  5. Build the foundational platforms and tools that allow product teams to rapidly prototype, build, and scale new agentic AI features for our customers.

Skills

Required

  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience.
  • 15+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation.
  • Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion.
  • Recognized expertise in developer platforms, infrastructure, CI/CD, and software development lifecycle tooling.
  • Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems.
  • Experience influencing and aligning senior leadership (Director, VP level) on technical strategy and roadmaps.

Nice to have

  • Deep expertise in leveraging Large Language Models (LLMs) and other generative AI techniques to build intelligent developer tools.
  • A strong background in compilers, code analysis (static/dynamic), or building large-scale distributed systems.
  • Experience building and scaling platforms that serve thousands of engineers in a complex, polyglot environment (Go, Java, Python, Swift, Kotlin).
  • A history of significant contributions to the open-source community, publications in top-tier conferences, or patents in relevant fields.
  • Expertise with modern build systems (e.g., Bazel, Buck) and container orchestration technologies (e.g., Kubernetes).

What the JD emphasized

  • technical visionary
  • recognized expert in developer platforms
  • Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems
  • Deep expertise in leveraging Large Language Models (LLMs) and other generative AI techniques to build intelligent developer tools

Other signals

  • AI-powered developer tools
  • embed intelligence into every stage of the developer lifecycle
  • agentic AI into our products