We are looking for a highly motivated Compiler Software Engineer to join this dynamic and innovative CUDA Compiler team. You will craft compiler capabilities that enable development and deployment of high performance parallel applications on NVIDIA's next generation GPU's. Our team delivers language extensions and performance improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.
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 alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If you’re excited by these challenges, we’d love to hear from you!
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 CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities.
Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users, from deep learning researchers to safety-critical software developers.
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
Knowledge of compiler front-end technology
Advanced C++ development skills, including experience working with large, modularized codebases.
Strong interpersonal, verbal and written communications skills
Capability to achieve objectives under tight deadlines
Experience executing tasks while managing competing priorities
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
Prior work on domain-specific front-ends or IRs such as MLIR, including dialect development or integration with custom compilers.
CUDA C++ application development experience
Strong understanding of parallel programming concepts.
Experience working with Programming Language and programming language standards.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
