Systems Engineer

Mind Robotics • Palo Alto, CA

1d

About The Position

Mind Robotics is building generalized physical AI for real-world industrial deployment, beginning on the factory floor. The Systems Engineer will own the robot’s requirements and architecture baseline, translating high-level behaviors and mission requirements into measurable, traceable specifications and ensuring the system and its safety requirements remain coherent from concept through field deployment. The role works closely with software, mechanical, electrical, firmware, controls, and integration teams to define intended robot behavior, how it will be verified, and what constitutes readiness to ship.

Requirements

• Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Systems Engineering, Robotics, or equivalent experience.
• 5+ years in systems engineering on complex electromechanical, robotic, or autonomous products, including at least one product taken through field deployment.
• Demonstrated experience writing, decomposing, and managing requirements, making high-level system behaviors measurable and testable, with traceability from requirement to design to verification.
• Hands-on experience with hazard and risk analysis (DFMEA/FMEDA, HARA, FTA) and turning results into requirements and test cases.
• Working knowledge of functional safety standards and concepts such as IEC 61508, ISO 13849, IEC 62061, ISO 26262, or similar.
• Strong hardware and software fundamentals, including the ability to bridge electrical schematics, embedded communication protocols, and firmware architecture, and to debug system-level issues with integration and firmware engineers.
• Proficiency in data analysis and scripting, including using hardware and field data to validate or challenge requirements.
• Clear written and verbal communication, with the ability to produce specifications that mechanical, electrical, and firmware teams can build and test against.
• Comfort with ambiguity, ability to move fast, and engineering curiosity to understand how the entire system works.

Nice To Haves

• Experience with requirements management tools such as Jama, Polarion, or DOORS, or model-based systems engineering (SysML).
• Experience supporting product safety certification (NRTL or notified body) as a technical contributor.
• Experience specifying or validating systems that include learned/ML-based components.
• Background in robotics, EV powertrains, drones, aerospace, or other dense electromechanical systems.
• Exposure to manufacturing self-test design or service diagnostics.

Responsibilities

• Own the system requirements baseline by capturing top-level robot behaviors and performance targets and decomposing them into measurable subsystem requirements, budgets, and interfaces, with traceability through verification.
• Define software requirements from high-level system requirements using first-principles analysis and hardware- or model-based testing.
• Contribute to architecture decisions for new robot subsystems, including communication protocols, control strategies, and hardware-software partitioning.
• Own interface definitions across mechanical, electrical, firmware, controls, and software teams, and manage requirement and interface changes and their cross-subsystem impact.
• Lead system-level failure mode and hazard analysis (DFMEA, HARA, FTA) with subsystem owners, and derive, allocate, and trace safety requirements to subsystems and their verification.
• Drive the verification and validation strategy, including system-level test plans from bench testing through field deployment, acceptance criteria, and requirements coverage.
• Work with subsystem owners to drive requirements and system-level coverage for on-robot diagnostics, telemetry, and health monitoring that support field deployment and service.
• Drive readiness reviews, sign-off, and post-launch monitoring across firmware, hardware, controls, reliability, and manufacturing stakeholders.
• Work with integration engineers to turn bench and field findings into requirement, interface, and design changes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level