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 Physics-Informed AI & Simulation Intern. This role is ideal for students with a strong foundation in physics-based modeling and machine learning, eager to apply their skills to real-world simulation acceleration and intelligent solver design.
Job Responsibilities
- Build PINNs and surrogate models for FEA/CFD simulations.
- Integrate ML into solver pipelines for instant predictions.
- Collaborate with domain experts to enhance engineering analysis.
- Contribute to internal tools and intelligent design features.
Qualifications
- Degree in Engineering, Applied Physics, or AI.
- Experience with Python ML frameworks and simulation software.
- Familiarity with Digital Twin concepts and CAE workflows.
- Strong foundation in physics and numerical methods.
Talent Sources
- Interdisciplinary labs at MIT, Stanford, Siemens.
- NeurIPS/SIMULIA authors and Revolution in Simulation trainees.
What You'll Gain
- Exposure to AI-driven simulation innovation.
- Opportunity to shape smarter engineering tools.
- Mentorship from leaders in ML and CAE.
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
#LI-MC2