Robotics Verification & Validation Engineer

At Meta, we're building the future of human connection and the technology that enables it, continuously inventing for the next generation of experiences. To move toward advanced machine intelligence, we're enabling AI to go beyond vision and interact with the physical world. As we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across robotics hardware, system software, machine perception, and artificial intelligence. You'll tackle open problems in robotics and AI, with the opportunity to shape new ways people connect around the world. 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.

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 AI
• Design, 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
• 7+ 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

• Experience in validating systems that incorporate AI/ML, particularly in perception and decision-making
• 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with C++ in a testing or development capacity
• Experience with Python for test automation and data analysis
• Successfully certified a robotic system to Safety Integrity Level 3 (SIL3) or an autonomous vehicle (AV) to Automotive Safety Integrity Level D (ASIL-D)

$173,000/year to $245,000/year + bonus + equity + benefits