Description
We are looking for a senior technical leader to transform developer experience for large-scale AI Research. This team owns the foundational systems that power engineering velocity: monorepo, CI/CD, build systems, developer environments, and onboarding,serving hundreds of engineers and researchers working on frontier AI workloads.
As a Member of Technical Staff, Developer Experience Engineering Manager you will define the vision and strategy for developer productivity at supercomputing scale, build and lead a high-performing organization, and drive AI-first development practices that fundamentally improve how software is built, tested, and deployed.
Responsibilities:
Own and evolve E2E DevEx Platform: monorepo strategy and governance, CI/CD systems and reliability, Build systems and performance optimizations, Developer environments
Drive step-function improvements in engineering velocity by reducing PR lead time and build times, increasing CI reliability and improving developer trust
Establish standards and guardrails for code quality, testing, and release practices
Lead adoption of agentic AI workflows across the engineering lifecycle (coding, testing, debugging, ops)
Build and lead a high-performing team, set technical direction and execution standards, drive accountability through clear goals and metrics
Partner with infrastructure, ML, and research teams to remove friction in training and experimentation workflows
Operate with clear metrics and accountability for productivity, reliability, and developer satisfaction
Qualifications:
Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
5+ years managing high performing engineering teams AND 5+ years of experience as Software Engineer.
Deep expertise in build systems (e.g., Bazel), CI/CD, and monorepo management
Proven track record improving developer productivity at scale (hundreds+ engineers) with experience driving organizational change and adoption of new practices/tools
Preferred Qualifications:
Strong systems thinking across performance, reliability, and developer workflows
Ability to balance speed, reliability, and standardization in a fast-moving environment
Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
Familiarity with AI/ML development workflows and training systems
Experience integrating AI tools into software development workflows
Experience with Bazel or large-scale monorepos
Background in high-performance or large-scale compute environments
Software Engineering