At Analog Devices, we're bridging the physical and digital worlds to enable breakthroughs at the Intelligent Edge.
Our mission is to ensure today's innovators stay Ahead of What's Possible.
* We combine analog, digital, and software technologies into solutions that drive advancements in digitized factories, mobility, and digital healthcare.
* We help combat climate change and reliably connect humans and the world.
Our high-impact team is developing foundational components for ADI's next wave of robotics solutions.
The role requires leading the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted.
Responsibilities include:
* Lead the design and deployment of expert and generalist policies.
* Drive the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
* Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
* Cross-functionally collaborate with embedded, hardware, and systems engineers to bring scalable solutions from research to production.
* Stay current with the state of the art in robotics, Edge AI, and self-supervised learning — and guide the team in adopting innovative technologies.
* Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.
Qualifications include:
* 10+ years of experience in robotics, computer vision, control theory, or AI; with 3+ years in a technical leadership role.
* M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
* Demonstrated expertise in at least one of the following: Task and motion planning, Policy learning methods, Robot foundation models, Decision making under uncertainty, Multi-sensor fusion (camera, LiDAR, IMU, encoders), Robot control and integration.
* Proven track record of deploying algorithms in real-world systems.
* Strong programming skills in Python, with experience in frameworks like ROS, PyTorch, or TensorFlow.
* Deep knowledge in the areas of robot locomotion, robot kinematics, and robot dynamics.
* Comfortable working with real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, MuJoCo, OpenAI Gym, or Unreal Engine.
* Familiar with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.
* Excellent communicator and collaborator — capable of leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains.
Bonus Experience (Nice To Have):
* Familiarity with industrial domains: factory automation, AMRs, predictive maintenance, etc.
* Prior contributions to open-source projects.
* Understanding of sensor design, signal processing, or embedded AI hardware platforms.
Join us in shaping the future of edge intelligence where your work bridges the gap between sensing and understanding.