Principal Systems Architect

Principal Systems Architect

Humanoid

London, United Kingdom

What You’ll Do:

• Develop and implement technical strategies aligned with the company’s mission and long-term goals;
• Collaborate with cross-functional leads and subject matter experts to architect robust, scalable systems that satisfy product requirements;
• Define and manage system-level requirements and ensure alignment across all engineering teams;
• Create and maintain system documentation, including block diagrams, interface specifications, and design narratives;
• Present architectural directions, trade-offs, and technical roadmaps to the leadership team;
• Lead trade studies and apply structured, evidence-based decision-making to guide critical design choices;
• Identify and resolve performance bottlenecks, ensuring architectural efficiency, reliability, and scalability;
• Stay up-to-date on industry trends, emerging technologies, and best practices relevant to robotic system design;
• Establish technical standards and best practices, ensuring compliance with industry regulations and safety guidelines;
• Identify and mitigate technical risks throughout the development lifecycle;
• Guide system integration efforts and coordinate with mechanical, electrical, software, and AI teams;
• Support system integration efforts to ensure high system performance and reliability.

We’re Looking For:

• Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field;
• 15+ years relevant industry experience in technical leadership positions, including 5+ years of experience in system architecture design, preferably in robotics or complex embedded systems;
• Strong knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems;
• Proficiency in hardware-software co-design, real-time computing, and middleware framework;
• Experience with AI/ML integration, sensor fusion, and autonomous decision-making systems;
• Familiarity with embedded systems, microcontrollers, FPGAs, and high-performance computing platforms;
• Understanding of wireless communication protocols, power management strategies, and battery technologies;
• Experience with system simulation tools such as Gazebo, Simulink, or similar modeling environments;
• Strong problem-solving skills and the ability to manage trade-offs between performance, cost, and complexity.