Software Engineer, ML Systems & Training Architecture

Highlights

• Unlock general-purpose robotics and push toward AGI in real-world settings.
• Keep robotics training framework healthy and improve its reliability and usability.
• Blend high-level AI capabilities with constraints of physical robotic systems.

What they offer

• Relocation assistance
• Equity

Ideal candidate

Low-ego, hands-on engineer who loves reading, fixing, and reviewing code and unblocking others. Thrives debugging unfamiliar systems quickly to keep fast-moving robotics research velocity high.

Requirements

• Strong software engineering fundamentals and excellent code review judgment
• Experience with ML systems, training frameworks, GPUs, distributed systems or complex infrastructure
• Ability to read and debug unfamiliar codebases quickly to root cause
• Ship high-quality code with velocity and pragmatic judgment
• Low-ego, responsive collaborator motivated by unblocking researchers and engineers
• Highly effective hands-on IC rather than process-heavy leader
• Experience reviewing messy, fast-moving or AI-generated codebases