Senior Graphics Shader Compiler Engineer
US, CA, Santa Clara, US, TX, Austin, US, CA, Remote, US, WA, RedmondRemoteCompilersPosted Aug 31, 2026
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- C
- C++
- LLVM
- CUDA
We are looking for an enthusiastic and competent Senior Graphics Shader Compiler Engineer for an exciting and fun role in our GPU Software organization. We deliver features and improvements to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces. Would you like to add this to your accomplishments?
We need you as a key member of a talented team of compiler engineers that is working on a core compiler component for our graphics drivers as well as for accelerating general purpose computation on the GPU. You will be solving critical 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, we want to hear from you!
What you'll be doing:
• Work on design and implementation of significant parts of the compiler.
• Work on performance analysis and design/implementation of new optimizations.
• Partner with global compiler, GPU driver, architecture, and application teams to coordinate improvements and problem resolutions.
• Seek interesting and meaningful compilation problems for state-of-the-art GPU technologies.
• Contribute to open-source projects (LLVM, DXC - HLSL compiler).
• Propose, design, and implement SPIR-V extensions, represent NVIDIA in Khronos.
• Participate and contribute to the future of SPIR-V as a standard graphics interchange format.
What we need to see:
• BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience.
• 8+ years of experience and strong background in compilers.
• You would need strong C/C++ programming skills, as well as a deep understanding of parallel programming models.
• Experience with compiler optimizations, especially working with LLVM infrastructure.
Ways to stand out from the crowd:
• Experience developing CUDA, DirectX, OpenGL/Vulkan applications
• Background with developing compiler optimizations and code generation for GPUs.
• Ability to do code generation and building a good compiler framework.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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