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Principal Algorithm Engineer​/Robotics Algorithm Lead

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Analog Devices, Inc.
Full Time position
Listed on 2026-01-22
Job specializations:
  • Engineering
    Robotics, AI Engineer, Systems Engineer, Embedded Software Engineer
Salary/Wage Range or Industry Benchmark: 148500 - 222750 USD Yearly USD 148500.00 222750.00 YEAR
Job Description & How to Apply Below
Principal Algorithm Engineer / Robotics Algorithm Lead page is loaded## Principal Algorithm Engineer / Robotics Algorithm Lead locations:
US, MA, Boston time type:
Full time posted on:
Posted Todayjob requisition :
R258879
** About Analog Devices
** Analog Devices, Inc. (NASDAQ:  ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible.

Learn more at  and on  and .
** Principal Algorithm Engineer / Robotics Algorithm Lead
*
* Location:

Boston, on-site Department:
Robotics Systems Solution Role

Summary:

Lead the design, implementation, and deployment of state-of-the-art algorithms across the full robotics stack, with a primary focus on Autonomous Mobile Robots (AMR), Simultaneous Localisation and Mapping (SLAM), and embedded AI solutions. This position combines deep technical expertise, cross-functional leadership, and a passion for solving complex real-world problems by bridging advanced algorithmic research with large-scale, production-ready systems.
*
* Key Responsibilities:

*** Architect, develop, and optimise SLAM, motion control, path planning, and behavioral decision-making algorithms for AMR and robotics platforms.
* Lead the integration of multi-modal sensor data (iTOF, RGB, LiDAR, IMU) for robust perception, mapping, and navigation in dynamic environments
* Drive innovation in embedded Edge AI, leveraging GPU-accelerated frameworks (CUDA, cuVSLAM, RTAB-MAP, ORB-SLAM) and machine learning/reinforcement learning to enhance robot performance
* Oversee low-level motor control development (position, velocity, torque loops) and system-level AI integration.
* Utilise and extend 2D/3D simulation platforms (Gazebo, Mu Jo Co , Isaac Sim) for algorithm development, validation, and real-world deployment support
* Collaborate with systems, mechanical, hardware, and software teams to optimise hardware-software integration and system performance
* Conduct rigorous testing and debugging in simulation and real-world scenarios; troubleshoot and resolve complex technical issues
* Champion technical documentation, standards compliance, and safety best practices across the team
* Mentor and develop engineering talent in advanced robotics and AI/ML techniques
* Proactively engage with customers to translate their challenges into scalable, high-impact solutions; ensure customer success from prototyping through deployment
* Represent the Robo8cs team in external forums: file patents, publish research, speak at industry conferences, and contribute to open-source projects
*
* Required Qualifications:

*** MS or PhD in Robo8cs, Computer Science, Electrical/Mechanical Engineering, or related field
* 8+ years of experience in robotics algorithm development, with a focus on AMR/SLAM and embedded systems
* Advanced proficiency in C++, Python, and ROS/ROS2; hands-on experience with Tensor Flow, PyTorch, and simulation platforms
* Proven track record delivering production-grade algorithms and hardware-software solutions in robotics
* Strong analytical and creative problem-solving skills; hands-on approach to prototyping, testing, and troubleshooting
* Experience leading and mentoring technical teams; ability to communicate complex ideas clearly to both technical and non-technical audiences
* Demonstrated ability to bridge technical breakthroughs with business value and customer impact
*
* Preferred Qualifications:

*** Experience with large-scale robotics deployments (industrial, commercial, or field)
* Prior patent filings, publications, or open-source contributions in robotics/AI
* Familiarity with safety standards and regulatory requirements in robotics
** Why Join
*** Shape the future of autonomous robotics at scale
* Work on impactful projects with cutting-edge hardware and real-world datasets
* Collaborate with world-class…
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