To build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments, and to define and deliver the physical architecture of robots
Requirements
- Deep knowledge of sensors (IMUs, cameras, LIDARs), actuators, compute platforms, and power systems.
- Experience with reliability testing, validation protocols, and failure analysis, eg Weibull analysis (for HW component life cycle) and FMEA (for design improvements and manufacturability).
- Hands-on experience working with manufacturers and suppliers (DFM, assembly, quality control).
- Strong debugging skills: able to root cause system-level hardware issues in fielded robots.
- Familiarity with HIL systems and test automation frameworks.
- Proficiency in CAD, schematic design, and system-level architecture documentation.
- Experience designing and validating robotic systems or other complex hardware platforms.
Responsibilities
- Define overall robot hardware architecture, including compute, sensors, actuators, power, and communication systems. This work will span multiple form factors including humanoid robots.
- Lead component selection (sensors, actuators, compute modules, power units, comms, cameras, LIDARs, etc.), balancing performance, cost, reliability, and manufacturability.
- Own end-to-end hardware design, bring-up, and integration with embedded and robotics software teams.
- Oversee technical relationships with contract manufacturers. Define technical requirements and tolerance for CM to meet build quality and manufacturability.
- Develop and execute validation and reliability testing plans for full robot systems and subsystems.
- Support Operations in developing and maintaining hardware-in-the-loop (HIL) test benches and production validation pipelines.
- Leverage root cause analysis of field hardware issues and drive preventive actions into future designs.
Other
- Master’s or PhD in Mechanical Engineering, Electrical Engineering, Robotics, or related field.
- 8+ years of experience in robotics or autonomous vehicle hardware, mechatronics, or electromechanical system design.
- Proven leadership experience: managed technical teams in hardware systems with AI/robotics eg. AVs or robots.
- Excellent communication skills for cross-functional leadership and external supplier engagement.
- Ability to work onsite in Austin, TX.
