Harwell Science and Innovation Campus, Didcot, UK
Full Time
£50K-60K / year
Safety Engineering Manager
SAIF Systems is building the next generation of safety-tech that will unlock the true benefits of AI and Autonomous Systems for humanity. We are looking for candidates that want to help rapidly grow our company, contributing to the strategic and technical direction of our high performing team. If you are looking for a challenge, potential for significant career progression internally as we grow, and opportunities to significantly change the way autonomy is used across multiple industries worldwide, then we would like to hear from you. Location:
Oxford or London, UK/Hybrid Employment Type:
Permanent – Full Time Reporting To:
CTO The Role SAIF Systems 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 Systems 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), and 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. About SAIF Systems SAIF's software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time. We are creating products that enable the deployment of AI in safety-critical applications by solving the problem of AI-integration and assuring non-deterministic controllers, guaranteeing safe and secure AI behaviour. Vision:
To be global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. 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. Our Values 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. Be Curious:
We are working at the cutting edge of safety engineering, AI and robotics, developing solutions to some of the most challenging problems in industry. 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. Join our team and be part of the revolution enabling a future where AI and autonomous systems are not only intelligent but assured, safe, and trustworthy.
#J-18808-Ljbffr
SAIF Systems is building the next generation of safety-tech that will unlock the true benefits of AI and Autonomous Systems for humanity. We are looking for candidates that want to help rapidly grow our company, contributing to the strategic and technical direction of our high performing team. If you are looking for a challenge, potential for significant career progression internally as we grow, and opportunities to significantly change the way autonomy is used across multiple industries worldwide, then we would like to hear from you. Location:
Oxford or London, UK/Hybrid Employment Type:
Permanent – Full Time Reporting To:
CTO The Role SAIF Systems 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 Systems 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), and 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. About SAIF Systems SAIF's software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time. We are creating products that enable the deployment of AI in safety-critical applications by solving the problem of AI-integration and assuring non-deterministic controllers, guaranteeing safe and secure AI behaviour. Vision:
To be global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. 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. Our Values 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. Be Curious:
We are working at the cutting edge of safety engineering, AI and robotics, developing solutions to some of the most challenging problems in industry. 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. Join our team and be part of the revolution enabling a future where AI and autonomous systems are not only intelligent but assured, safe, and trustworthy.
#J-18808-Ljbffr
