ML Engineer

Navier AI is revolutionizing engineering software with physics-driven design, focusing on making Computational Fluid Dynamics simulations 1000x faster than current solutions. Using cutting-edge physics machine learning, we're accelerating traditionally compute-intensive simulations to help engineers innovate across various fields - from aircraft design to F1 cars and consumer products.

As an ML Engineer on our founding team, you'll be at the forefront of developing novel ML models for physics simulations. This role offers a unique blend of deep technical work and startup experience, where you'll work directly with founders who bring aerospace experience from SpaceX. You'll have the opportunity to shape both the product and the company's future while working in a highly collaborative environment.

The role demands strong expertise in PyTorch, transformer architectures, and deep learning for scientific computing. You'll be working on everything from complex model architectures to building data pipelines. The position offers significant growth potential, not just in technical skills but also in understanding startup operations, product development, and business scaling.

Founded by Cameron and Evan, former SpaceX engineers, Navier AI emerged from their firsthand experience with the challenges of slow engineering workflows. The company is venture-backed and focused on creating the next generation of engineering software, believing that fast, high-quality simulations are the future of physical product design.

Join us in San Francisco to be part of a transformative journey in engineering software. You'll receive competitive compensation and founding team member equity, reflecting your crucial role in our mission to redefine engineering tools and processes.