Robotics Verification & Validation Engineer

We are seeking a detail-oriented and rigorous V&V (Verification & Validation) engineer to join our humanoid robotics team. In this role, you will play a key role in our efforts to ensure the reliability, safety, and performance of our humanoid robots. You will be responsible for the end-to-end verification and validation of the entire system, from individual components to the fully integrated robot operating in complex, real-world scenarios.

This position is critical for ensuring our robots are not only functional but also safe and robust enough for human interaction, demanding a comprehensive understanding of complex electro-mechanical systems, software, and safety-critical V&V methodologies.

Robotics Verification & Validation Engineer Responsibilities:

Own and execute the verification and validation lifecycle for the humanoid robot platform, ensuring comprehensive test coverage from early concept through to deployment and post-launch updates

Develop and document comprehensive V&V plans, including test strategies, test cases, and test procedures for the entire robotic system, including hardware, software, firmware, and AIDesign, build, and maintain sophisticated test environments, including full system integration testbeds and fully automated test cells

Establish and maintain clear traceability between system requirements, safety requirements, and V&V test cases using requirements management tools (e.g., Jama, Polarion, DOORS)
Lead root cause analysis of failures and anomalies found during testing, and work with the engineering teams to develop and verify corrective actions. Clearly document and report all findings

Develop, execute, and document the verification and validation testing required to demonstrate compliance with relevant industry standards (e.g., IEC 61508, ISO 13482, ISO 10218)
Work in close collaboration with the functional safety, design, software, and systems integration teams to ensure that V&V activities are aligned with design and safety goals

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor’s degree or higher in Engineering, Computer Science, Robotics, Mechatronics, or a related field7+ years of hands-on experience in a verification and validation role for complex, safety-critical systems (e.g., in robotics, autonomous vehicles, aerospace, or medical devices)
Proven experience in developing sophisticated test environments, including full system integration testbeds and fully automated test cells

Proven experience in developing and executing V&V plans for systems with integrated hardware and software

Working knowledge of functional safety standards (e.g., IEC 61508, ISO 13849 or ISO 26262)
Working knowledge of robotics-specific or autonomy standards such as ISO 13482, UL 3300, ISO 10218, UL4600 or ISO 21448

Preferred Qualifications:

Successfully certified a robotic system to Safety Integrity Level 3 (SIL3) or an autonomous vehicle (AV) to Automotive Safety Integrity Level D (ASIL-D)

Experience with C++ in a testing or development capacity

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in validating systems that incorporate AI/ML, particularly in perception and decision-making

Experience with Python for test automation and data analysis

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