Senior Compiler Engineer, LLVM

Posted 7 Hours Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Compiler Engineer at NVIDIA, you will design and implement key components of the compiler, focusing on performance analysis and optimizations while collaborating with teams to resolve issues. You will work on advanced GPU technologies and contribute to open-source projects, driving innovations in GPU computing.
Summary Generated by Built In

We are looking for an experienced LLVM 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 small team 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).

What we need to see:

  • BS/MS in Computer Science or Computer Engineering (PhD strongly preferred) or equivalent experience.

  • 3+ 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.

  • Collaborate well with others in an energizing environment.

  • You should have strong interpersonal skills and influence others in the department.

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.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

C
C++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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