Jobs · Engineering · California

Principal Field Robotic System Engineer/Architect

Analog Devices · San Jose, CA · 3 wk ago
Engineering$186k–$256k/yrFull-time

About the role

Analog Devices, Inc. (NASDAQ: ADI) is seeking a Principal Field Robotics System Engineer to operate at the intersection of hands-on robotic system expertise, customer engagement, and platform enablement. This is a high-impact, customer-facing role focused on:

  • Scaling platform and solution engagements across robotics ecosystems (OEMs, disruptors, and partners), in collaboration with ADI BUs, Sales, Software, ADI Garage, Innovation Hubs, and AI teams.
  • Co-creating with customers and demonstrating value proposition.
  • Providing domain expertise across robotic subsystems and platforms (motion, sensing, perception, control, power).
  • Accelerating customer decision cycles and drive design wins.

Responsibilities

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.

Skills & Experience

  • 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 PythonRobotics 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)
  • Effective communicator, able to bridge technical and commercial stakeholders, and translate customer needs into clear system requirements

Preferred Additional Qualifications

  • M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or related field
  • 10+ years of experience in robotic systems and subsystem development, including system architecture
  • Experience with robotics platforms or simulation tools, for examples:NVIDIA (Jetson Nano, Orin NX, Orin AGX)Qualcomm Robotics (RB5/6, Snapdragon connectivity stack)AMD embedded platforms (Ryzen, Radeon, ROCm with ROS 2)
  • Demonstrated track record of delivering high-quality robotic hardware and/or software systems
  • Exposure to State-of-the-Art Physical AI, such as VLM/VLA, policy learning
  • Experience working within robotics ecosystems (OEMs, startups, system integrators)
  • Experience supporting technical workshops, demos, or customer enablement activities

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