Safety Engineering Manager SAIF Autonomy is building the Trust Layer for Physical AI and Autonomous Systems. The next generation of safety-tech that will unlock the true benefits of AI for humanity. Our vision is to be global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. Location: SAIF Test Site, Oxfordshire, UK (3 days in office) Compensation: DOE Employment Type: Permanent, Full Time Department: Engineering Reporting To: Head of Engineering Our Working Culture SAIF is a fast-growing start-up with ambitious goals and our culture reflects that. We’re building something meaningful and we’re looking for people who are genuinely energised by that journey. You’ll thrive here if you enjoy taking ownership, wearing multiple hats, learning quickly and are comfortable working beyond core hours when the work demands it - not because it’s expected day-to-day, but because seeing progress matters. Our team is driven by the satisfaction of building, solving hard problems and moving fast together, embracing collaboration and change as part of start-up life. We’re looking for people who want to be part of something being built from the ground up, who enjoy the momentum and responsibility that comes with it and who bring commitment, curiosity and teamwork to everything they do. The Role SAIF Autonomy is seeking an experienced Safety Engineer to join our team building cutting-edge assurance systems for autonomous systems applications. You will play a crucial role in ensuring the safety and regulatory compliance of our products, contributing to the development of safe and reliable AI and robotic systems. SAIF Autonomy offers a competitive compensation package and the opportunity to work on cutting-edge technologies that shape the future of AI and robotics safety. Responsibilities Conduct safety analyses, such as Hazard and Operability Studies (HAZOPs), Functional Failure Analysis (FFA), Fault Tree Analysis (FTA), Failure Mode, Effects and Criticality Analysis (FMECA) in accordance with Def Stan 00-056 for SAIF Systems' SAIF Autonomy product and its components. Develop safety requirements, safety cases and safety-critical software and hardware architectures in accordance with industry standards and best practices. Collaborate closely with cross-functional teams, including systems architects, software engineers, hardware engineers, and machine learning experts, to ensure safety considerations are integrated throughout the product development lifecycle. Evaluate and ensure compliance with relevant safety standards and regulations, such as DO-178C, ISO 26262, IEC 61508, and others specific to AI and robotics applications. Participate in safety reviews, audits, and certification processes, liaising with regulatory bodies and independent certification authorities as required. Establish SAIF’s safety engineering plans, standards, processes, tooling, and continue to improve the way we work by staying up to date with the latest advancements in safety engineering for AI and robotics systems. Mentor and provide technical guidance to junior safety engineers and other team members. Key Skills and Experience Bachelor's, Master's degree or PhD in Safety Engineering, Systems Engineering, Aerospace Engineering or a related field, with a focus on safety-critical systems. Extensive experience in safety engineering, with a proven track record in delivering safety-critical systems, preferably in the AI, robotics, or aerospace domains. Extensive knowledge of safety engineering methodologies, tools, and best practices, such as Functional Hazard Analysis (FHA), Fault Tree Analysis (FTA) and Safety Case development. Strong understanding of safety-critical software and hardware development standards and certification processes (e.g., DO-178C, DO-254, ISO 26262, IEC 61508). Familiarity with AI and robotics safety standards and guidelines (e.g., ISO/IEC TR 24028, IEEE P7009). Experience with safety-critical system development in regulated industries (e.g., aviation, automotive, medical devices) is a plus. Strong analytical, problem-solving and decision-making skills. Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams. Benefits SAIF offers a salary sacrifice pension with a 5% matched company contribution EV Car Scheme Cycle to Work Scheme More exciting benefits to come as we grow! About Us Our software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time. We do this with no need for data or communications links and we begin the journey by applying our tech to autonomous systems in the aerospace and land domains. Purpose To set global industry standards and enable complex autonomous systems to operate safely and predictably, with optimum performance and efficiency. Bringing inherent trust and safety to all autonomous systems. SAIF’s products are future-focused, compliance-ready & built for safety-critical environments. Our Values 1. Be Safe – We exist to make autonomous systems as safe as possible, so we must maintain the highest standards of safety and security as a company. (Also, it would have been a missed opportunity if we didn’t have this as a value!) 2. Be Curious – We are working at the cutting edge of safety engineering, AI and robotics. We are developing solutions to some of the most challenging problems in industry and need to be continually exploring the art of the possible, dreaming, prototyping and testing. 3. Be Committed – We are a start-up with ambitious goals for growth and solving hard problems. It will not be an easy journey, but it will be one worth doing. It will require commitment from everyone - late nights, weekends - the usual ‘start-up’ life. However, as a company, SAIF are committed to creating an environment where everyone can grow, develop and take on this challenge in a supportive and constructive environment.