AI​/ML Robotics Engineer - Environmental Perception

Position: Staff AI / ML Robotics Engineer - Environmental Perception
Location: City of Edinburgh
Staff AI / ML Robotics Engineer - Environmental Perception page is loaded## Staff AI / ML Robotics Engineer - Environmental Perception locations:
United Kingdom, Edinburgh, SC, Freer posted on:
Posted Todayjob requisition :
R255365
** 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 .
** Staff Engineer – AI for Perception, SLAM, and Sensor Fusion
***
* Location:

** Edinburgh, Scotland  
** Team:
** Edge AI Group, Analog Devices Inc. (ADI)
Analog Devices’ Edge AI team is on a mission to redefine how machines perceive and interact with the world. We’re building real-time, intelligent systems that combine world-class sensor technology with cutting-edge AI — at the Edge, where milliseconds matter.

We are looking for a
** Staff AI/ML Engineer
** with a strong background in
** robot perception, SLAM, and sensor fusion
** to help us build systems that localize, map, and understand complex environments. Whether it’s a mobile robot navigating a warehouse, or an intelligent sensor inferring structure from sparse data — your algorithms will enable precise, real-time environmental awareness.

You’ll be a core contributor to the development of robust and efficient AI-based perception systems, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering.
** Responsibilities
* ** Design, prototype, and deploy algorithms for
** SLAM, visual odometry**, and
** multi-sensor fusion** (e.g., camera, IMU, LiDAR, encoders) in robotics and edge computing applications.
* Develop AI-driven methods for
** mapping, pose estimation, localization**, and
** semantic perception**, with an emphasis on performance and generalization.
* Train and evaluate deep learning models for spatial understanding, integrating with classical perception pipelines when needed.
* Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
* Collaborate with embedded, systems, and software teams to bring perception solutions to production on resource-constrained edge platforms.
* Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
* Stay current with trends in AI for robotics (e.g., transformer-based perception, self-supervised learning, foundation models), and help integrate relevant advancements into our workflows.
** Qualifications**
* ** 6+ years
** of experience in AI, robotics, or computer vision, including
** 4+ years focused on SLAM, sensor fusion, or perception systems**.
* Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
* Strong understanding of
** 3D geometry, motion estimation, sensor fusion**, and real-time system design.
* Hands-on experience building and deploying SLAM or VIO systems (e.g., ORB-SLAM, RTAB-Map, DSO, OpenVINS, Cartographer).
* Proficient in
** Python and C++**, with practical experience using
** PyTorch**,
** Tensor Flow**, or
** ROS**.
* Comfortable working with real-world sensor data (e.g., stereo cameras, LiDAR, IMU) and simulation tools like Gazebo, Isaac Sim, or Unreal.
* Experience with
** Dev Ops/MLOps tools**:
Docker, CI/CD pipelines, cloud platforms (Azure, AWS), version control (Git).
* Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.
** Bonus Experience
*** Experience integrating perception models with
** control loops, path planning**, or
** robot operating systems…