Principal Ai/ml Engineer (robotics)

Analog Devices Foundation

Ireland
**
Robot policies
Task planning
Computer vision
** Analog Devices is seeking a Principal AI/ML Engineer specializing in robotics to lead the development of advanced robot policies and decision-making systems. The ideal candidate will have extensive experience in robotics, computer vision, and AI, coupled with strong programming skills and a collaborative mindset. **

Job Summary

  • Lead the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted.
  • Drive the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
  • Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.

Matching Summary

Match Score: 75

** Analog Devices is seeking a Principal AI/ML Engineer specializing in robotics to lead the development of advanced robot policies and decision-making systems. The ideal candidate will have extensive experience in robotics, computer vision, and AI, coupled with strong programming skills and a collaborative mindset. **

Skills & Requirements

Must-have

  • robot policies
  • task planning
  • computer vision
  • decision-making under uncertainty
  • expert and generalist robot policies
  • hierarchical planning
  • reinforcement learning
  • hybrid methods
  • Python
  • ROS
  • PyTorch or Tensorflow
  • real-time systems
  • embedded platforms
  • simulators

Nice-to-have

  • factory automation
  • AMRs
  • predictive maintenance
  • open-source projects
  • sensor design
  • signal processing
  • embedded AI hardware platforms

Key Requirements

  • 10+ years of experience in robotics, computer vision, control theory or AI
  • 3+ years in a technical leadership role
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field
  • Proven track record of deploying algorithms in real-world systems
  • Deep knowledge in robot locomotion, kinematics and dynamics
  • Familiar with MLOps and software best practices

Work Rights

Not specified

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