Principal Robotics Systems Architect – Vision, Sensor Fusion & Motion
Listed on 2026-07-15
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Engineering
Robotics, AI Engineer (Applied/Software), Systems Engineer, Automation & Mechatronics Engineer
About Analog Devices
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 combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay ahead of what's possible.
JobTitle
Principal Robotics Systems Architect – Vision, Sensor Fusion & Intelligent Motion
LocationWilmington, MA
Position OverviewAnalog Devices' Advanced Physical Technology (APT) group is building next‑generation intelligent robotic motion systems that tightly integrate sensing, perception, decision‑making, and actuation. We are seeking a Principal Robotics Systems Architect to lead the development of robotic perception and action platforms spanning vision systems, sensor fusion, motion control, edge AI, and intelligent manipulation. In this role, you will architect complete robotic systems that transform multimodal sensor inputs—including RGB cameras, depth vision sensors, and force/torque/tactile sensors—into robust autonomous actions.
You will work across perception, motor control, embedded computing, AI, and electromechanical systems to create high‑performance robotic platforms for real‑world applications. This position is ideal for hands‑on robotics leaders who have built and deployed robots from concept to field deployment and possess deep expertise in integrating vision, sensing, decision‑making, and actuation into a cohesive robotic system.
- Architect end‑to‑end robotic systems integrating sensing, perception, planning, and actuation.
- Lead the development of multimodal sensor fusion solutions combining RGB vision, depth sensing, and force/torque/tactile sensing.
- Define system architectures for vision‑guided manipulation, dexterous robotic hands, autonomous motion, and robot‑environment interaction.
- Partner with AI, controls, firmware, hardware, and mechanical teams to develop real‑time perception‑to‑action architectures.
- Drive robot hardware/software co‑design across sensors, embedded processing, communication networks, motor drives, and actuators.
- Lead system integration, validation, and field testing of advanced robotic platforms.
- Mentor multidisciplinary engineering teams and drive alignment across functions.
- Hands‑on experience developing and deploying commercial robotic systems.
- Strong systems engineering skills spanning hardware, software, sensing, controls, and mechanical integration.
- Deep background in robotic perception, sensor fusion, and intelligent control.
- Experience integrating RGB cameras, depth sensors, force/torque/tactile sensors, and motor drives and encoders.
- Demonstrated success building vision‑guided or autonomous robotic systems.
- Experience with robotic manipulation, robotic hands, collaborative robots, or humanoid systems.
- Working knowledge of NVIDIA Jetson platforms, computer vision, embedded systems, and edge AI.
- Proven ability to lead cross‑functional teams and deliver complex robotic platforms from concept to deployment.
- M.S. or Ph.D. in Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
- 10+ years of industry experience developing robotic, automation, or autonomous systems.
- Experience designing and integrating complex systems involving sensing, embedded computing, control, and actuation.
- Strong understanding of robotic perception, sensor fusion, control systems, and system integration.
- Demonstrated success delivering robust systems from prototype through field deployment.
- Experience developing vision‑guided robotic manipulation systems.
- Expertise in multimodal sensor fusion architecture.
- Experience with NVIDIA Jetson, multi‑core MCU/NPU platforms, Isaac Sim, or related robotics frameworks.
- Background in robotic hands, manipulators, humanoid robots, mobile robots, or autonomous machines.
- Familiarity with motor control, servo systems,…
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