Principal Systems Architect

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.