3 of 3 Aerospace Jobs in Kingston Upon Thames

required protocols. Candidate Profile: Essential Qualifications and Experience: Degree, HND/HNC, or equivalent experience in Systems Engineering, Software Engineering, Control Systems, or a related field. Familiarity with defence, aerospace, or similarly regulated industry standards. Proficiency in using requirements and test management tools such as IBM DOORS. Demonstrated ability to investigate root causes and implement corrective actions. Desirable: Experience supervising More ❯

Understanding of testing and commissioning Degree, HNC, HND or equivalent in Electrical/Electronic engineering or a related discipline Experience within Defence, Maritime (Ship s machinery and control systems), Aerospace, or a similarly regulated industrial sector (e.g. Oil Gas, Pharma or PetroChem More ❯

zones on Earth to the unexplored frontiers of space, our Spatial AI delivers unprecedented levels of autonomy, resilience, and adaptability. At SPAICE, youll work on real missions alongside leading aerospace and defense contractors, shaping the future of space and autonomous systems. If you're looking for a place where your work has a real, tangible impact SPAICE is that place. … Engineer (Virtual Worlds), youll develop high-fidelity simulations to train, test, and validate navigation algorithms across different platformssupporting both single-vehicle and multi-agent autonomy. Youll work closely with Aerospace Engineers, GNC experts, and AI developers to create physically accurate environments with real-world dynamics, control pipelines, and sensor perception interfaces. What you might work on Designing and developing virtual … simulators and making them work together Ability to think in terms of physical realism , sensor models, and environment variability Strong understanding of simulation environments for robotics, drones, automotive, or aerospace systems Comfort working in a multidisciplinary team , collaborating with control engineers, AI researchers, and aerospace experts Bonus: Familiarity with sensor simulation (e.g., LiDAR, cameras, radar) or synthetic data generation Bonus More ❯