Responsibilities
- Lead the safety lifecycle for the humanoid robot platform from concept through production and deployment
- Perform qualitative and quantitative system analyses, including performance and reliability, HARA, FMEA, FTA at the system, subsystem, and component levels to satisfy the required Safety Integrity Level of the product
- Define safety concepts and requirements to support risk reduction measures
- Define, manage and ensure full traceability of system requirements, aligning with product safety and robot safety standards
- Ensure that systems and subsystems' designs meet robot safety, functional safety, and product safety requirements
- Manage safety requirements across the entire robot platform using requirement management tools
- Work closely with product design, mechanical, electrical, and software engineering teams to embed safety into the core design
- Ensure compliance with relevant industry standards (e.g., IEC 61508, ISO 13485, ISO 10218) and interface with external regulatory and certification bodies
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 field
- A minimum of 7+ years of experience in safety engineering, with experience delivering complex, safety-critical products (e.g., in robotics, autonomous vehicles, aerospace or industrial automation)
- Experience leading and executing HARA, FMEA, FTA, and reliability analysis for complex electro-mechanical, software-driven systems
- Demonstrated ability to translate safety standards into clear, concise, and testable system requirements
- Working knowledge of functional safety standards (e.g., IEC 61508, IEC 62061, ISO 13849 or ISO 26262)
- Working knowledge of robotics safety standards (e.g., ISO 13482, ISO 10218, and ISO/TS 15066.)
- Demonstrated ability to use requirements management tools (e.g., Polarion, DOORS, Jama)
Preferred Qualifications
- Knowledge of AI and functional safety standards, including ISO/IEC TS 22440 series or PAS 8800
- 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)
- Understanding of hardware and software development, including developing safety-critical software in Rust and C++
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 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 dealing with the safety implications of machine learning, computer vision, and autonomous decision-making systems
$208,000/year to $289,000/year + bonus + equity + benefits
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