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Estimated salary
£ 4166
Median salary at SAIF SYSTEMS
£ 3333Lowest salary
£ 3888The average salary
£ 4166Highest salary
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SAIF SYSTEMS is looking for employees for positions:
engineering manager
engineering manager
senior embedded software engineer
principal engineer
Education
bachelor's
Responsibility
develop safety requirements, safety cases, and safety-critical software and hardware architectures in accordance with industry standards and best practices
participate in safety reviews, audits, and certification processes, liaising with regulatory bodies and independent certification authorities as required
mentor and provide technical guidance to junior safety engineers and other team members
conduct safety analyses, such as Hazard and Operability Studies , Functional Failure Analysis , Fault Tree Analysis , Failure Mode, Effects and Criticality Analysis in accordance with Def Stan 00-056 for SAIF Systems' SAIF Autonomy product and its components
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
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
department: Engineering
Requirements
strong understanding of safety-critical software and hardware development standards and certification processes
familiarity with AI and robotics safety standards and guidelines
experience with safety-critical system development in regulated industries is a plus
strong analytical, problem-solving, and decision-making skills
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
excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams
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 , Fault Tree Analysis , and Safety Case development