Senior Manager, Compute Compiler Engineering

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6 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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 you will be doing:

  • 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.

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

Ways to stand out from the crowd:

  • CUDA C++ and/or OpenCL application development experience

  • Experience with compiler development for parallel programming languages targeting hardware accelerators.

  • Familiarity with deep learning frameworks and NVIDIA GPUs.

  • Up-to-date with current ISO C++ programming language standards with engagement with the language standard committees being a plus.

  • Customer support for production compiler software.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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