Software Engineer, Productivity - Model Performance

Responsibilities

• Improve development workflows for engineers working on model performance infrastructure
• Design and improve CI/CD, release, validation, and testing pipelines
• Build and maintain tools that improve reliability, iteration speed, and engineering confidence
• Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows
• Contribute to infrastructure efforts that support performance-critical training and inference systems
• Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure
• Work in a high-context, ambiguous environment where ownership and good judgment matter

Requirements

• Motivated by enabling other engineers and helping them do their best work
• Strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows
• Highly collaborative, empathetic, and comfortable partnering deeply with technical teams
• Strong in Python and enjoy building reliable, scalable developer tools and infrastructure
• Experience improving large-scale engineering workflows, especially around CI reliability, test infrastructure, and debugging velocity
• Self-directed and comfortable operating with ambiguity
• Excited to learn model performance domain

Nice-to-haves

• Experience in the PyTorch ecosystem
• Experience with C++ or Rust