Reinforcement Learning (Physical AI) Intern

Cadence Design Systems • Marion, IN

1d

About The Position

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Internship Overview We are seeking a passionate and technically skilled intern to join our R&D team as a Reinforcement Learning (Physical AI) Intern. This role is ideal for students with a strong foundation in reinforcement learning and robotics control, eager to apply their skills to real-world adaptive systems and intelligent automation.

Nice To Haves

• Pursuing a degree in Robotics, AI, Computer Science, or related field.
• Experience with Python, PyTorch, and RL libraries (e.g., Stable Baselines, RLlib).
• Hands-on experience with simulators (e.g., Gazebo, MuJoCo).
• Strong math optimization and control theory background.

Responsibilities

• Develop RL prototypes using algorithms like Deep Q, PPO, and A3C for control and optimization tasks.
• Integrate RL into simulation environments and robotics simulators.
• Collaborate on adaptive systems that learn from feedback to improve performance over time.
• Support internal presentations and documentation for RL-based automation initiatives.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees