DAQ Station Engineer

Responsibilities

• Design and develop station hardware and electromechanical subsystems, including fixtures, mounts, operator interfaces, and safety components.
• Translate operational needs into clear hardware requirements, prototypes, and production-ready designs.
• Support the full hardware lifecycle from concept and detailed design through build, test, deployment, and iteration.
• Partner with Robotics, Research, and Software teams to ensure seamless integration with robotics platforms and data collection workflows.
• Improve station reliability and serviceability by diagnosing field issues and implementing durable engineering fixes.
• Manage technical build quality by working with vendors, machine shops, and fabrication partners.

Requirements

• Strong experience developing mechanical or electromechanical hardware for complex physical systems.
• Proven track record designing equipment, fixtures, workcells, or automation hardware.
• Proficiency in CAD, prototyping, and fabrication methods.
• Sound judgment regarding DFM/DFA, serviceability, durability, and ergonomics.
• Ability to move from ambiguous requirements to hands-on prototypes and robust designs.

Preferred Qualifications

• Experience in robotics, automation, advanced manufacturing, or high-complexity hardware environments.
• Experience developing hardware intended for repeated daily use in operational settings.
• Experience working with external suppliers, machine shops, or contract fabricators.

Benefits

• Competitive salary and generous equity packages.
• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan with employer match.
• Paid parental leave and flexible PTO.
• Daily meals in the office and meal delivery credits.
• Annual learning and development stipend.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The OpenAI Robotics team focuses on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings.