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Job description
The engineer will own the end-to-end technical path for adopting Warp in computational applications and integrate it into internal software projects. They will also design and implement new Warp APIs and programming abstractions to expand capabilities for researchers and developers.
Requirements
Candidates must have at least 8 years of experience in software development with significant expertise in building and optimizing CUDA C++ software for NVIDIA GPUs. A degree in a computational engineering or science field is required, along with a strong background in numerical methods and scientific data pipelines.
Key Skills
C++
CUDA
Python
Computational physics
Scientific computing
Differentiable programming
GPU architecture
Parallel execution
Numerical methods
Performance optimization
Software integration
API design
Simulation software
CI/CD
Debugging
Profiling
Benefits
Equity
Comprehensive benefits package
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Worksite address
santa clara, CA, 95053, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.