Nvidia Senior Python Compiler Engineer 

United States, Texas 

300844160

You will be a member of a team that is working to bring together the power of GPU acceleration and the expressibility and programmability of Python, by developing foundational software that supports many key products spanning the gamut of AI, high performance computing, scientific computing, data analytics, deep learning, and professional graphics running on hardware ranging from gamer laptops to supercomputers to the cloud.

What You'll Be Doing:

Specifically, you will be working to:

• Architect, prioritize, and develop new features in CUDA Python

• Analyze, identify, and improve the UX and performance of CUDA software in Python

• Write effective, maintainable, and well-tested code for production use

• Address unique challenges in developing and deploying Python GPU solutions

• Engage with the Python community to develop and drive necessary protocols and standards for the NVIDIA CUDA platform

• Evangelize CUDA programming in Python to encourage and empower adoption of the NVIDIA CUDA platform

What We Need To See:

• BS, MS or PhD degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

• 6+ years experience in compiler development and code optimization

• Strong Python programming skills with track record of driving formulation or adoption of community standards

• Fluent C, C++, and CUDA C++ programming skills

• Experience designing, developing, tuning, navigating, and/or maintaining a large, complex, multi-language software stack (between C, C++, CUDA C++, and Python)

• Good written communication, collaboration, and presentation skills with ability of working across team boundaries

• Knowledge of Numba, NumPy, SciPy or a similar framework

Ways To Stand Out From The Crowd:

• Deep understanding in the CUDA programming model and language features

• Familiarity with Python ecosystem, language idioms, and pioneering solutions

• Dexterity with compilers, static and dynamic analysis techniques, and dynamic code generation

• Experience developing with the LLVM and MLIR compiler infrastructure

• Experience in memory management of a multi-language project or development of domain specific libraries/languages for AI, Data Analytics or Scientific Computing