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 Engineer
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
- Open-source contributions to major projects
- 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.
Top Skills
What We Do
Making CFD 1000x faster
