Senior/Staff Field Robotic Systems Engineer

About the role

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that help drive advancements in automation and robotics, mobility, energy and data centers, and healthcare, combat climate change, and reliably connect humans and the world.

Responsibilities

• Build and integrate proof-of-concepts, demos, and reference systems that translate ADI platform and solution capabilities into compelling system-level demonstrations, clearly showcasing value for our customers
• 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
• Support ADI Catalyst (collaboration hubs) engagements and customer co-creation activities; including workshops and boot camps
• Lead customer engagements on platforms and system solutions with robotics companies, disruptors, and ecosystem partners
• Develop and apply deep expertise across key areas of technology in Robotics
• 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 of FAEs and sales teams in system-level engagements

Requirements

• B.S. in Electrical Engineering, Computer Engineering, Robotics, or related field
• 5+ years of experience in robotics system, subsystem, or technology design
• Proven hands-on experience integrating robotic systems (prototype or deployed) or experience with advanced robotics (Perception systems 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
• Experience working at the hardware–software boundary (system integration, bring-up, debugging)
• Exposure to State-of-the-Art Physical AI, and Robotic perception / awareness systems
• Experience working within robotics ecosystems (OEMs, startups, system integrators)
• Experience supporting technical workshops, demos, or customer enablement activities

Qualifications

• M.S. in Electrical Engineering, Computer Engineering, Robotics, or related fields
• 10+ years of experience in robotic systems and subsystem development
• Experience with robotics platforms or simulation tools, such as NVIDIA Jetson Nano, Orin NX, Orin AGX
• Demonstrated track record of delivering high-quality robotic hardware and/or software systems
• Experience working within robotics ecosystems (OEMs, startups, system integrators)
• Experience supporting technical workshops, demos, or customer enablement activities

Skills

• B.S. in Electrical Engineering, Computer Engineering, Robotics, or related field
• 5+ years of experience in robotics system, subsystem, or technology design
• Proven hands-on experience integrating robotic systems (prototype or deployed) or experience with advanced robotics (Perception systems 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
• Experience working at the hardware–software boundary (system integration, bring-up, debugging)
• Exposure to State-of-the-Art Physical AI, and Robotic perception / awareness systems
• Experience working within robotics ecosystems (OEMs, startups, system integrators)
• Experience supporting technical workshops, demos, or customer enablement activities