Principal Systems Architect

3 weeks ago

london, United Kingdom Shaw Daniels Solutions Full time

Principal Systems Architect Location: London – 5 days in the office Our Clients They are the UK’s first AI and robotics company dedicated to building advanced, reliable, and commercially scalable humanoid robots. Their first system, HMND-01, is a next-generation labor automation platform designed to deliver high-efficiency performance across multiple real-world applications, beginning with industrial environments. Responsibilities Architect and drive technical strategy aligned with company vision and long-term product goals. Work closely with cross-functional engineering leads to design scalable, robust, and modular system architectures. Define and maintain system-level requirements, ensuring alignment across mechanical, electrical, software, and AI teams. Produce system documentation including block diagrams, interface definitions, and design specifications. Present architectural plans, trade-offs, and progress updates to leadership. Lead trade studies and data-driven evaluations for key design decisions. Identify and resolve architectural performance constraints to ensure efficiency and reliability. Stay informed on emerging technologies and best practices in robotics and system engineering. Establish and enforce technical standards, safety principles, and system compliance guidelines. Assess and mitigate technical and program risks throughout the development lifecycle. Guide integrated testing, debugging, and full system validation efforts. Requirements Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related discipline. 15+ years of relevant industry experience, including 5+ years in system architecture for robotics or complex embedded systems. Deep understanding of robot system design (kinematics, dynamics, control, perception). Strong background in hardware-software co-design, real-time systems, and middleware frameworks. Experience with AI/ML integration, sensor fusion, and autonomous decision-making systems. Familiarity with embedded platforms (MCUs, FPGAs, HPC architectures). Knowledge of power management, wireless communication, and battery systems. Experience using system modelling/simulation environments (e.g., Gazebo, Simulink). Strong analytical, decision-making, and trade-off evaluation skills. Benefits Competitive salary and participation in their Stock Option Plan. Paid vacation aligned to local labor requirements. Travel opportunities to their Vancouver and Boston offices. Office benefits including free breakfast, lunch, snacks, and team events. Ability to directly shape core product architecture and strategic direction. Collaboration with leading engineers and researchers in AI and robotics. A fast-moving, open, and low-bureaucracy startup culture.

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