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.
Key Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.