Senior Systems Engineer - Mission Computing

Join a team developing the next generation of mission computing technology for advanced military aircraft, taking technical ownership of processor platforms that will underpin multiple future defence programmes. This role offers the opportunity to influence product strategy, architecture and technology direction across a portfolio of cutting-edge airborne systems. As a Senior Systems Engineer within the Core Technologies team at GD-MS UK, you will lead the development and evolution of our common processor-based VPX card portfolio, which supports a wide range of defence programmes and customers. You will provide technical leadership, drive innovation and ensure these foundational platform components deliver the performance, reliability and scalability required for demanding operational environments. A key aspect of the role will be championing the adoption of Model-Based Systems Engineering (MBSE), applying model-based approaches to new product developments while guiding the transition of existing processor card product lines. You will oversee the integration of MBSE practices alongside traditional documentation methods, ensuring continuity, compliance and traceability throughout this transformation. Key Responsibilities - Establish and build comprehensive SysMLv2 requirements models for new processor-based card developments from inception, ensuring consistency and traceability across all system elements - Conduct comprehensive systems-level analysis and technical evaluations to identify optimisation opportunities and resolve complex engineering challenges such as FPGA integration, utilising both traditional and model-based approaches - Own the Verification & Validation (V&V) cycle, ensuring testing is comprehensively planned and delivered to achieve full sign-off of product design, with complete traceability to requirements models maintained throughout the development lifecycle - Collaborate with mechanical, hardware, firmware, and software engineering teams to ensure seamless integration and system compatibility across all project deliverables, promoting adoption of MBSE practices across disciplines - Lead technical design reviews and provide expert guidance to junior engineers on both traditional systems engineering and model-based systems engineering methodologies, fostering knowledge sharing and continuous improvement - Develop and maintain detailed technical documentation, including design specifications, architecture diagrams, and SysMLv2 models, ensuring alignment between document-based and model-based representations - Ensure all processor-based card designs comply with relevant industry standards, regulatory requirements, and organisational quality standards for defence applications - Analyse emerging technologies and industry trends to inform future Digital IO card development strategies and systems engineering practices Required Skills & Experience - Proven experience in systems engineering with a focus on processor or hardware design - Strong analytical and problem-solving capabilities with meticulous attention to detail - Knowledge of processor architectures and system-level design principles - Excellent technical documentation and communication skills - Demonstrated ability to work collaboratively within multidisciplinary engineering teams Desirable Skills & Experience - Experience with hardware validation, testing methodologies, and performance analysis - Familiarity with CAD tools, simulation software, and technical modelling platforms - Leadership or mentoring experience within technical engineering environments - Familiarity with semiconductor design processes and processor card manufacturing - Knowledge of industry standards such as PCIe, DDR, and other relevant specifications - Experience with power management, thermal analysis, and signal integrity considerations - Background in systems architecture and platform-level design - Understanding of design for manufacturability (DFM) and cost optimisation principles - Experience working with or familiarity with AI/ML models is preferred