System Engineer

<p><strong>Role: </strong>Systems Engineer (SysML, MBSE, aerospace & Defence, SC)</p><p><strong>Location:</strong> Remote (with occasional travel to London HQ)</p><p><strong>Employment Type:</strong> Permanent – Full Time</p><p><strong>Department:</strong> Engineering</p><p><strong>Reporting To:</strong> Head of Engineering</p><p><strong>Compensation:</strong> (DoE)</p><p><br><br>If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.<br></p><p><strong>About the Opportunity</strong></p><p>Our client is building AI and Autonomous Systems — a next-generation safety technology.</p><p>Launched in 2017, they are a fast-growing start-up working at the forefront of AI, robotics, and safety-critical systems, with a strong focus on innovation and real-world impact.</p><p><br></p><p><strong>Working Culture</strong></p><p>Our client operates with the pace and ambition of a high-growth start-up. They are building something meaningful and are looking for individuals who are energised by that journey.</p><p>This environment will suit someone who:</p><ul><li>Enjoys taking ownership</li><li>Is comfortable wearing multiple hats</li><li>Learns quickly and adapts to change</li><li>Is willing to go beyond core hours when needed to maintain momentum</li></ul><p><br></p><p>The team is driven by building, solving complex problems, and moving quickly together. Collaboration and adaptability are key, and individuals are expected to bring curiosity, commitment, and a strong team mindset.</p><p><br></p><p><strong>The Role</strong></p><p>Our client is seeking a Systems Engineer to join their engineering team, working on cutting-edge assurance systems for AI and robotics applications, initially focused on Unmanned Aircraft Systems (UAS).</p><p>In this role, you will play a key part in:</p><ul><li>Shaping system architecture</li><li>Supporting software design</li><li>Managing engineering lifecycle activities</li><li>Contributing to the development of safety-critical solutions</li></ul><p><br></p><p>This is an opportunity to work on technologies that are shaping the future of AI and robotics safety, within a highly innovative environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop system architectures, particularly for Unmanned Aircraft Systems (UAS).</li><li>Collaborate with cross-functional teams including embedded software, safety, and ML engineers to ensure cohesive system integration.</li><li>Conduct system-level analysis, trade-off studies, and risk assessments to meet safety, performance, and regulatory requirements.</li><li>Define and maintain system-level requirements, interfaces, and specifications in line with industry standards.</li><li>Oversee implementation, integration, and verification of system components.</li><li>Manage the systems engineering lifecycle from planning through to validation, verification (V&V), and customer acceptance.</li><li>Contribute to improving systems engineering processes, tools, and methodologies.</li></ul><p><br></p><p><strong>Key Skills & Experience</strong></p><ul><li>Degree (Bachelor’s, Master’s or PhD) in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field.</li><li>Experience in systems architecture and design within complex, safety-critical environments — ideally in the UAS domain.</li><li>Knowledge of systems engineering methodologies such as MBSE, SysML, and DoDAF.</li><li>Understanding of software and hardware architecture, real-time systems, and embedded systems design.</li><li>Experience with safety-critical standards (e.g., DO-178C, DO-254, ARP4754A, ARP4761).</li><li>Familiarity with UAS regulations and standards (e.g., FAA, EASA, ICAO).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and ability to collaborate across teams. xwzovoh </li></ul><p><br></p><p><strong>About the Technology</strong></p><p>Our client’s software enables the assured and trustworthy deployment of both deterministic autonomy and AI-driven control methods — without reliance on data or communication links.</p><p>Their initial focus is on autonomous systems within aerospace and land-based environments, developing solutions that are:</p><ul><li>Future-focused</li><li>Compliance-ready</li><li>Built for safety-critical applications</li></ul>