Applied Research Scientist, Computational Mathematics, Physics, & Controls
Tasks
- Apply controls theory for embodied agents
- Build differentiable physics and PDE constrained optimization
- Develop high performance C plus plus code
- Develop physics simulation software library
- Implement numerical linear algebra algorithms
- Implement parallel computing on CPU and GPUs
- Integrate complex software systems
- Maintain scalable efficient code
- Optimize models using dynamic programming
- Perform code reviews
- Solve PDEs
- Train reinforcement learning agents
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Constrained optimization | Controls theory | Differentiable physics | Dimensionality Reduction | Dynamic Programming | GPU Computing | High Performance | High-Performance Computing | Linear Algebra | Numerical Linear Algebra | Optimization | PDE | PDE constrained optimization | Parallel Computing | Performance Computing | Physics simulation | Reduced order modeling | Reinforcement Learning
Education
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