Nvidia Senior CUDA Compiler Engineer – Compute 

United States, Texas 

632441734

In this role, as a leader on our team, you have the opportunity of working on the optimizing CUDA C++ compiler, a core component of our platform for accelerating general purpose computation on the GPU. The CUDA programming language defines a unified programming model across a range of system configurations and hardware capabilities. The compiler is responsible for translating parallel programs written in the CUDA/C++ programming language into microcode that is optimized for fast execution on NVIDIA's family of industry-leading GPU architectures. You will be solving challenging problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, and you are interested, please let us know.

What you'll be doing:

• Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software.

• Contribute to the programming language specification and its evolution factoring in support for new GPU hardware capabilities.

• Collaborate closely with teams developing other components of the compiler in ensuring language conformance, robustness, high-quality code generation and suitability for developing programs used in deep learning and safety-critical execution environments.

• Provide engineering support for the compiler and deliver targeted changes for production customer releases.

• Establish strong customer/partner relationships and trust through excellent execution and high-quality software development.

What we need to see:

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

• 3+ years of experience in developing production compilers or related software

• Knowledge of compiler front-end technology

• Strong C++ programming skills

• Strong interpersonal, verbal and written communications skills

• Capability to achieve objectives under tight deadlines

• Experience executing tasks while managing competing priorities

• Practical knowledge working with large code bases

• Experience working with industry standard C++ compilers and development frameworks.

• Experience writing and debugging multithreaded programs

• Deep understanding of technology and passion for what you do with strong teamwork, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Ways to stand out from the crowd:

• Strong track-record in compiler engineering with EDG, LLVM-clang or other industrial strength compiler front-end

• CUDA C++ application development experience

• Strong understanding of parallel programming concepts.

• Familiarity with deep learning frameworks and NVIDIA GPUs

• Experience working with Programming Language and programming language standards.