We are looking to hire an accomplished Engineering Leader for an exciting and fun role in our GPU Compiler Software organization. We deliver features and 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. Our compiler organization makes its mark on every GPU that NVIDIA produces. Would you like to be part of this world-class organization and lead the charge to even greater accomplishments?
We need you to lead the teams responsible for the CUDA C++ and OpenCL compilers which are core elements of our platform offering for accelerating general purpose computation on NVIDIA GPUs. These key programming languages define a unified programming model across a range of system configurations and hardware capabilities. The compilers are responsible for efficiently translating parallel programs written in a high-level programming language into microcode that is optimized for fast execution on NVIDIA’s family of industry-leading GPU architectures. In this role you will be solving critical problems working alongside world-class engineering leaders with vision in GP-GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

WHAT WE NEED TO SEE:

• BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent experience
• 10+ overall years of production software development
• 5+ years of technical lead/management experience
• Experience in developing production compilers or related software and have collaborated on the development of large code bases.
• Excellent verbal and written communications skills
• A team player with proven leadership and mentorship skills
• Demonstrated track record of success in achieving objectives under tight deadlines and have led projects with consequential priorities.
• Strong hands-on C++ programming skills with experience using industry standard C++ compilers and development frameworks.
• Familiar with parallel programming paradigms and hardware accelerators.
• Track-record of success as a technical manager/ leader

• Providing supervisory mentorship and technical direction to a geographically distributed team of compiler development engineers, including planning, scheduling and execution of projects and activities.
• Guiding the design and implementation of the CUDA C++ compiler driver, front-end, dynamic compilation library and related binary tooling support (including a device linker and ELF binary dynamic loader), ensuring tight integration with industry-leading third-party compiler software.
• Advising the design and implementation of the OpenCL ‘just-in-time’ compiler ensuring standards conformance and competitive performance for industry-standard benchmarks on Nvidia’s GPU architectures.
• Offering end-to-end stewardship for both compiler product offerings, interacting with product managers, key customers and ISVs to ensure responsiveness to critical needs.
• Nurturing the roadmap for the compiler product offerings, informed by customer needs and proactive innovation choices including evolutionary extensions to the CUDA C++ programming language specification.
• Collaborating closely with multi-functional teams developing other related components to ensure language conformance, robustness, high-quality code generation and suitability for developing programs used in deep learning and safety-critical execution environments.
• Establishing strong customer/partner relationships and trust through excellent execution and high quality software delivery.