Navier AI
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About
Navier AI is building 1000x faster simulations using a physics-ML solver. The model is trained on massive amounts of high-quality simulations and fine-tuned on experimental data. Their fast CFD platform enables engineers to quickly explore design spaces and perform analysis-in-the-loop design optimization, lowering the barrier to entry for aerospace and mechanical engineers to create high-performance designs. The company is backed by Y Combinator and has founders with experience at SpaceX, Aurora Innovation, Tesla, Astranis, General Atomics, and Anzu Partners.
Platform
Task
Features
• 1000x faster simulations
• physics-ml solver
• run real-time cfd simulations
Job Opportunities
ML Engineer
Navier AI uses Physics-ML to create 1000x faster Computational Fluid Dynamics (CFD) simulations for engineers.
Experience Requirements:
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
Responsibilities:
Developing and experimenting with novel ML models for physics simulations
Working on model architectures, learning rate schedules, or loss functions
Building new data pipelines
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Rust Software Engineer
Navier AI uses Physics-ML to create 1000x faster Computational Fluid Dynamics (CFD) simulations for engineers.
Experience Requirements:
Strong Proficiency in Rust
Experience with Rust Web Development
Low-level Systems Experience
Familiarity with Rust GUI/Graphics Frameworks
Cloud Infrastructure
Responsibilities:
Building the systems and frameworks that power the visualizations and UX for our simulations
Working on low-level systems programming, optimizing performance
Contributing to the core simulation visualizer and interfaces in Rust
Working on modern Rust-based web and GUI development
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Software Generalist
Navier AI uses Physics-ML to create 1000x faster Computational Fluid Dynamics (CFD) simulations for engineers.
Experience Requirements:
Proficiency in Python and experience with Python-based data pipelines
Familiarity with full-stack development
Strong experience with cloud services
An ability to quickly learn new technologies and adapt to new challenges
Comfortable with version control (Git) and software development best practices
Responsibilities:
Building robust data pipelines
Working on cloud infrastructure on AWS
Writing clean and scalable Python code
Contributing to full-stack development
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