System Architect - Mobile Robot Platform

Position Summary

We are seeking an experienced System Architect to lead the end-to-end system design of a new mobile robot platform. This role is responsible for defining the overall architecture across hardware, firmware, software, networking, and cloud integration to deliver a scalable, reliable, and manufacturable robotic system. The ideal candidate will bridge product vision and technical execution, guiding cross‑functional teams from concept through production and lifecycle support.

• Own the system‑level architecture for a next‑generation mobile robot platform, including compute, sensors, power, communications, and software stack.
• Define requirements, interfaces, and performance budgets (power, compute, latency, thermal, safety).
• Lead architectural decisions and trade studies across mechanical, electrical, firmware, autonomy, and cloud systems.
• Establish and maintain system documentation, including architecture diagrams, interface control documents (ICDs), and design specifications.
• Ensure alignment with functional safety, cybersecurity, and regulatory requirements.
• Guide technology selection for sensors, compute platforms, middleware, networking, and OTA updates.
• Support prototype development, validation, and transition to manufacturing.
• Mentor engineers and act as the primary technical authority for system‑level decisions.

• Bachelor’s degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related field (Master’s preferred).
• 8+ years of experience in systems engineering or architecture, with direct experience in mobile robotics or autonomous systems.
• Proven experience designing multi‑disciplinary systems combining hardware, embedded software, and higher‑level software.
• Strong understanding of mobile robot architectures, embedded Linux, sensors, and networking.
• Excellent communication skills with technical and non‑technical stakeholders.

• Experience bringing robotic products from concept to production.
• Familiarity with ROS, ROS 2, DDS, and modern autonomy stacks.
• Experience with Nvidia platforms.
• Knowledge of functional safety, reliability engineering, and design for manufacturability.