Meta(Meta Platforms)岗位: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 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)
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United States of America:$173,000/year to $245,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
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