Nvidia Senior Compiler Engineer - CUDA 

United States, Texas 

37177785

time type

Full time

posted on

Posted 7 Days Ago

job requisition id

What you'll be doing:

• Build and optimize systems at the intersection of compiler technology, linking, loading and developer tools to deliver efficient and scalable software builds.

• Ensure robust support for ELF and DWARF standards, maintaining high-quality symbol and debug information handling.

• Collaborate with cross-functional teams to improve the integration of the compiler toolchain.

• Optimize the compiler and linker to reduce compilation time and memory consumption.

• Apply strong C++ development skills to deliver high-performance, reliable compiler and toolchain features.

• 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)

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

• Deep knowledge of compiler front-end technologies and/or linker and loader internals.

• Strong C++ programming skills

• Strong interpersonal, verbal and written communications skills

• Ability to manage competing priorities and achieve objectives under tight deadlines

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

Ways to stand out from the crowd:

• Strong track-record in compiler engineering with knowledge of compiler internals (parsing, semantic analysis, type systems) or optimizer/code generation pipelines

• Expertise in linker and loader internals, with hands-on experience working with ELF binaries, symbol resolution, and relocation.

• Strong systems programming background, ideally in C++

• CUDA C++ application development experience with a solid understanding of parallel programming concepts.

• Familiarity with deep learning frameworks and GPUs