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 Engineer on our founding team, you'll work directly on developing and experimenting with novel ML models for physics simulations. We want someone who can go deep on model architectures, learning rate schedules, or loss functions one day, and then jump to building new data pipelines the next.

What We’re Looking For

Strong familiarity with PyTorch
Experience with transformer architectures
Expertise in deep learning for scientific computing
Proficiency in Python and scientific computing libraries
Experience in model designing

Bonus

Familiarity with neural operators, PINNs, and INRs
Background in physics or computational engineering
Experience with large-scale model training and optimization
Published research in ML for physics/engineering

Why This Role Is Special

High Impact : As part of a small, agile team, every line of code you write and every experiment you run will shape the future of the company. You won’t just contribute—you’ll help define the product and the business itself.
Unlimited Learning : This role offers more than technical growth. You’ll have the opportunity to learn about running and scaling a startup, product development, fundraising, and much more.
Deep Collaboration : You’ll work side-by-side with the founders, who bring their aerospace experience from SpaceX, and collaborate with a team of sharp, passionate individuals dedicated to pushing boundaries.

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: $100K-$250K, with an equity package that reflects your founding team member status.

Apply Now!

This is a rare opportunity to join a startup on the ground floor and have a massive impact. If you’re passionate about pushing the boundaries of machine learning and want to see your work directly impact the future of engineering, we want to talk to you!

Join us and be part of something extraordinary.

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