Software Engineer, ML Systems & Training Architecture

Maintain and improve ML training infrastructure and frameworks to support robotics research.

• •Hands-on senior engineer improving and maintaining the robotics team’s ML training framework and infrastructure, debugging training jobs and unblocking researchers.
• •Key Responsibilities Review and improve code across training frameworks and adjacent infrastructure.
• •Identify and prevent risky or low-quality changes.
• •Debug ML training systems, GPUs, clusters, networking, and infrastructure.
• •Unblock researchers from broken training jobs and flaky tooling.
• •Improve reliability and usability of the training framework.
• •Requirements Strong software engineering fundamentals and code review judgment.
• •Experience with ML systems, training frameworks, GPUs, and distributed systems.
• •Ability to read and debug unfamiliar codebases quickly.
• •Produces high-quality code with pragmatic judgment.