Software Engineer, Productivity - Model Performance
Core
Building developer productivity infrastructure, CI/CD pipelines, and tooling to accelerate model performance engineering workflows at scale.
Role type
Senior developer productivity engineer (infrastructure)
Builds
CI/CD systems, testing workflows, validation pipelines, and developer tooling for performance-critical training and inference systems.
Domain
AI infrastructure / Developer tooling / CI/CD
Deliverable
infrastructure
Required skills
CI/CD pipeline design, Python development, testing system architecture, debugging velocity optimization, release management, tooling development, large-scale workflow improvement, system reliability engineering, ambiguous problem solving, cross-functional partnership
Preferred skills
PyTorch ecosystem experience, C++ or Rust programming, Triton project familiarity
Technologies
Python, PyTorch, C++, Rust, Triton
Responsibilities
Design and improve CI/CD, release, validation, and testing pipelines; Build and maintain tools that improve reliability and iteration speed; Partner with engineers to identify and fix friction in testing and deployment workflows; Contribute to infrastructure supporting performance-critical training and inference systems; Improve developer experience across Python-heavy codebases.
Seniority
Senior, hands-on IC
