ML Researcher (Founding Team)

The Vision

Navier AI is building engineering software for physics-driven design. We are starting by making Computational Fluid Dynamics simulations that are 1000x faster than current solutions. We're leveraging cutting-edge physics machine learning to accelerate traditionally compute-intensive simulations. Why? Because Engineers deserve better tools to drive innovation, from designing efficient aircraft, to faster F1 cars to silent hair dryers. We're not just improving the status quo - we're redefining it.

The Role: ML Researcher

As an ML Researcher on our founding team, you'll develop cutting-edge models to solve complex physics simulations at unprecedented speeds.

What We’re Looking For:

• Strong experience with PyTorch and PyTorch Lightning
• Experience with transformer architectures
• Published research in ML for physics/engineering
• Expertise in deep learning for scientific computing
• Proficiency in Python and scientific computing libraries

Bonus:

• Background in physics or computational engineering
• Familiarity with neural operators, PINNs, and INRs
• Experience with large-scale model training and optimization

The Founders

Cameron and Evan are former SpaceX-ers who’ve built and launched land, sea, air and space vehicles. As aerospace engineers, they experienced firsthand the challenges of slow, inefficient engineering workflows and founded Navier AI to solve these exact problems.

Location & Compensation

• In-person, San Francisco
• Salary: $150K-$250K, with an equity package that reflects your founding team member status.

Apply Now!

Ready to make your mark on the future of engineering?

Join us and be part of something extraordinary.