NVIDIAGPU Backend Compiler Engineer
NVIDIA is hiring a GPU Backend Compiler Engineer in Austin, United States. It pays $152k-$242k a year and Level rates it ; you can apply on Level.
AI in this role
Design and develop high-performance GPU compiler backends supporting parallel architectures and deep learning workloads.
We are searching for a Backend Compiler Engineer 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:
- Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++
- Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools
- Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
- Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages
What we need to see:
- B.S. or degree in Computer Science/Engineering or equivalent experience
- 3+ years of compiler code generation experience
- Excellent hands-on C++ programming skills
- 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:
- M.S./PhD. with significant compiler related project or thesis work preferred
- Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
- Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
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”.
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 Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! 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.
Applications for this job will be accepted at least until October 9, 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.How we rate this
GPU Backend Compiler Engineer at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where compiler design was part of your work. What did you do?
- Tell me about a project where code generation was part of your work. What did you do?
- Tell me about a project where gpu optimization was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Walk me through how you've used C in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Compiler Design, Code Generation, GPU Optimization, Software Engineering, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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