Senior Robot Learning Engineer: Dexterous AI Robotics

Analog Devices; Wilmington (MA); On-site; USD 144,000 - 198,000; Full time

Job summary

Analog Devices is seeking a Senior Robot Learning Engineer to advance AI robotics, bridging simulation and real-world performance. You will contribute to learning algorithms, build sandbox simulations, and support data collection and curation in a cutting-edge workspace.

The role emphasizes deep learning with PyTorch, reinforcement/imitation learning for manipulation, and planning/control strategies, with travel up to 10% and a competitive compensation package.

Qualifications

• Master’s degree or equivalent experience required; Ph.D. preferred.
• 3+ years of research experience in robot learning.
• Strong background in machine learning and robotics with RL/IL, planning and control, and optimization.

Responsibilities

• Contribute to development of advanced learning algorithms for general and dexterous robot control.
• Create sandbox simulations, deployable implementations, and evaluation frameworks for performance and robustness.
• Contribute to data requirements, data collection setup and data curation.

Skills

Reinforcement Learning

Imitation Learning

Planning and Control

Optimization

Deep Learning (PyTorch)

Multi-modal datasets

Education

Master’s degree

Ph.D. preferred

Tools

ROS/ROS2

Mujoco

Isaac

PyTorch

Job description

Analog Devices is seeking a Senior Robot Learning Engineer to advance AI robotics, bridging simulation and real-world performance. You will contribute to learning algorithms, build sandbox simulations, and support data collection and curation in a cutting-edge workspace.

The role emphasizes deep learning with PyTorch, reinforcement/imitation learning for manipulation, and planning/control strategies, with travel up to 10% and a competitive compensation package.