Research Member of Technical Staff- Robot Learning Systems & Reliability

Highlights

• Own the end-to-end robot-learning pipeline from data to real-robot evaluation.
• Build validation and observability to make robot experiments trustworthy.
• Help deliver generalist robots that handle real-world edge cases.

What they offer

• Equity

Ideal candidate

A staff-level systems thinker who loves owning ambiguous end-to-end workflows and making research reliable. You enjoy digging into physical robot failures and driving fixes across teams without formal authority.

Requirements

• Ability to work across research, infrastructure, software, and operations and drive decisions without formal authority
• Clear written communication for interfaces, test plans, root-cause analyses and procedures
• Comfort working directly with physical systems and real-world robotics ambiguity
• Degree in Computer Science, Robotics, EE or related field or equivalent experience