The role involves owning the technical path for adopting NVIDIA Warp in computational applications and integrating CUDA features to improve performance and portability. You will partner with internal engineering teams to integrate Warp into various software products and design new APIs for simulation and AI workloads.
Requirements:
Candidates need a degree in a computational engineering field and over 8 years of software development experience. Significant expertise in building and optimizing performance-critical CUDA C++ software for NVIDIA GPUs is required.
Key Skills:
- CUDA C++
- Python
- GPU Architecture
- Performance Profiling
- Numerical Methods
- Scientific Computing
- Differentiable Programming
- Parallel Execution
- CI/CD
- Open-source Software Maintenance
- Multiphysics Simulation
- Computational Physics
- Memory Optimization
- API Design
- Kernel Libraries
- Data Pipelines
Benefits:
- Competitive Salaries
- Comprehensive Benefits Package
- Equity
Senior Software Engineer - NVIDIA Warp in seattle at Unknown Company
This position is listed as full time and onsite.