Job Description
Reinforcement Learning (Physical AI) Intern

Summary

Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies. Our R&D team is pioneering innovations in high-performance computing (HPC), solver intelligence, and machine learning integration across simulation workflows.

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.

Job 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.

Qualifications

  • 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.

Talent Sources

  • Top Robotics/AI universities (CMU, Stanford, Georgia Tech).
  • Robotics competition participants and PhD students in control/AI.

What You'll Gain

  • Exposure to autonomous systems and RL-driven optimization.
  • Mentorship from leaders in AI and robotics.
  • Opportunity to contribute to smart automation and generative AI projects.

 

What We Offer

  • A paid internship. 
  • Exceptional Medical Insurance  
  • 401k with generous employer match  
  • Exposure to real-world manufacturing Platform 
  • Networking opportunities across Hexagon’s global business.  

 

Explore Life at Hexagon  

At Hexagon, we’re empowering an autonomous, sustainable future through innovation in manufacturing intelligence, simulation, and automation. Get to know our teams, our culture, and our technology through our social media channels:  

Instagram: @hexagon_mi | @hexagon_ab  

LinkedIn: Hexagon Manufacturing Intelligence  

YouTube: Hexagon MI | Hexagon AB  

Twitter/X: @HexagonMI | @HexagonAB  

Facebook: Hexagon Manufacturing Intelligence  

  

Learn more at hexagon.com and get inspired by how we shape smart change across industries.

 

Duration: Summer 2026 (10–12 weeks)

Compensation: Competitive hourly rate

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Hexagon posts all official job opportunities on either careers-manufacturing.hexagon.com or careers.hexagon.com and communicates only from email addresses ending in @hexagon.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at recruitment.us.mi@hexagon.com.
Information at a Glance
Job Title:  Reinforcement Learning (Physical AI) Intern
Job Function:  Research & Development
Job Location (Short):  North Kingstown, USA, 02852
Workplace Type:  Hybrid
Workplace Details:  North Kingstown, RI, Hybrid
Req ID:  2325
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About Hexagon

Hexagon is a global leader in sensor, software and autonomous solutions. We are putting data to work to boost efficiency, productivity, and quality across industrial, manufacturing, infrastructure, safety, and mobility applications. Our technologies are shaping urban and production ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon’s Manufacturing Intelligence division provides solutions that utilise data from design and engineering, production and metrology to make manufacturing smarter.