NVIDIA's invention of the GPU 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, we are increasingly known as “the AI computing company”.
We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.
What you will be doing:
Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
Get a chance to influence and work on new GPU architectures
What we need to see:
B.S. or higher degree in Computer Science/Engineering or equivalent experience
4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation
Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
Proficient in compiler design and in performance analysis tools
Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks
Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
Good communication and documentation skills and self-motivated
Ways to stand out from the crowd:
Masters or PhD preferred, with 5+ years of relevant experience
Experience developing compiler optimizations and code generation for GPUs
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
You should have strong interpersonal skills and be capable of leading and influencing 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.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 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.Skills Required
- B.S. or higher in Computer Science/Engineering or equivalent experience
- 4+ years of compiler development experience, including 3+ years with LLVM focused on code generation
- Expertise in LLVM code generation: instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, MIR
- Proficient in compiler design and performance analysis tools
- Excellent hands-on C++ programming skills applied to industry-standard compilers and frameworks
- Strong software engineering principles for robust, maintainable solutions
- Good communication and documentation skills; self-motivated
- Masters or PhD (preferred) with 5+ years relevant experience
- Experience developing compiler optimizations and code generation for GPUs
- Experience developing CUDA, DirectX, OpenGL, or Vulkan applications
- Strong interpersonal skills and ability to lead and influence others
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”







