Build and integrate proof-of-concepts, demos, and reference systems that translate ADI platform capabilities into compelling system-level demonstrations, clearly showcasing performance, scalability, and customer value
Work hands-on with robotic subsystems and platforms (motion, sensing, perception, control) aligned to real-world customer use cases
Support system bring-up, integration, and debugging across hardware, software, and control layers
Lead ADI Catalyst (collaboration hubs) engagements and customer co-creation activities; including workshops and boot camps
Lead strategic platform engagements with robotics companies, disruptors, and ecosystem partners
from early concept through deployment
Develop and apply deep expertise across key areas of technology including motion & actuation, multimodal sensing, real-time control, embedded compute / edge AI, and power systems, with considerations for functional safety
Act as the technical bridge between customers, Sales, FAEs, and Business Units
Provide guidance on system architecture trade-offs (system partition, performance, cost, power, scalability)
Convert engagements into design wins and scalable opportunities across accounts
Represent ADI through customer engagements, technical forums, and industry events
Contribute to enablement and mentorship of FAEs and sales teams in system-level engagements

B.S. in Electrical Engineering, Computer Engineering, or related field
5+ years of experience in robotics system, subsystem, or technology design across industry and/or academia
Proven hands-on experience integrating robotic systems (prototype or deployed) or experience with advanced robotics (manipulation and humanoids preferred)
Strong understanding of key robotic technologies, including motion control and actuation, multimodal sensing (IMU, force/torque, tactile, magnetic, vision, depth, audio), or real-time / embedded systems
Experience working at the hardware–software boundary (system integration, bring-up, debugging)
Familiarity with: C/C++ and/or Python
Robotics frameworks (e.g., ROS / ROS2)
Simulation and virtual commissioning tools (e.g., Isaac Sim/Omniverse, Gazebo, RoboDK, MATLAB)
Exposure to AI/ML and perception systems
Ability to support customer engagements, evaluations, and technical discussions
Experience operating across matrixed teams (Sales, FAEs, Business Units)

Medical, vision and dental coverage
401k
Paid vacation
Paid holidays
Paid sick time that exceeds Washington State Sick Leave law
Discretionary performance-based bonus
10 paid holidays per year
Paid vacation starting at 136 hours per year for full-time employees (prorated for part-time employees)

Principal Field Robotic System Engineer – Architect

Key skills