Nvidia Senior Software Engineer - CUDA Python 

United States, Texas 

407354981

What You'll Be Doing:

As a member of our team, you will use your design abilities, coding expertise, creativity, and community engagement to develop and enhance the functionality and performance of NVIDIA GPUs such that the current and future generations of Python users can enjoy the programmability and take full advantage of the NVIDIA CUDA platform, including both NVIDIA hardware and software. 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

• Bridge the language gap between existing CUDA C/C++ solutions and Python

• Understand and address unique challenges in developing and deploying Python GPU solutions

• Identify key open source players in the Python/PyData ecosystem, and engage with them 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)

• 5+ years of relevant industry experience or equivalent academic experience after BS

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

• Fluent C/C++ and CUDA programming skills

• Background in AI, high performance computing or performance critical applications

• Track record ofdeveloping/maintainingPython projects, and/or engaging with Python users on UX or performance improvements

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

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

• Experience in distributed programming in C/C++/Python using MPI, Dask, Legate, or other distributed programming models/frameworks

• Knowledge of generating Python bindings for mid- to large- size C/C++ codebases

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/dynamic analysis techniques, and/or dynamic codegeneration/transpilation/compilation

• Experience in using or developing the LLVM/Clang 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