NVIDIA
Posted 1w ago

GPU Compiler Engineer

NVIDIA
Austin or Oregon or California or Santa Clara or Redmond
$124k-$242k/yrHybridFull Time
Responsibilities
  • improving compilers
  • designing optimizations
  • resolving problems
Requirements
  • Bachelor's degree in computer science/engineering or equivalent
  • 2+ years of compiler code generation experience
  • Excellent C++ skills
  • Software engineering expertise, and strong communication skills
Technical tools mentioned
C++LLVMCUDADirectXOpenGLVulkanOpenCLFortranPTXLLVM IRMachine IR (MIR)GlobalISelTableGen

Job description

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

  • 2+ 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 25, 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.

About NVIDIA

Computing platform for AI and accelerated graphics.

Similar jobs

Compiler Engineer roles near Austin, Texas
3d
Save
Mark Applied
Hide
Compiler Engineer
Santa Clara or Austin or United States
$151k-$215k/yr HybridFull Time
AMD
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Strong C++ skills, LLVM experience, code testing and review abilities, and a bachelor's or master's degree in computer science, computer engineering, or electrical engineering.
C++, LLVM, P4, GitHub
1w
Save
Mark Applied
Hide
Deep Learning Compiler Engineer
Santa Clara or Austin or Oregon or Washington or California or Redmond
$152k-$242k/yr OnsiteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
3+ YOEBachelor's, master's, or Ph.D. in computer science, computer engineering, or related field; 3+ years in compiler optimization, performance analysis, or IR design; strong C/C++ and software design skills.
C, C++, CUDA, OpenCL, MLIR, LLVM, XLA, TVM
2w
Save
Mark Applied
Hide
Senior Principal Compiler Engineer
Austin or San Jose
$180k-$240k/yr RemoteFull Time
SambaNova Systems
SambaNova Systems: AI infrastructure providing a full-stack platform for enterprises, AI labs, service providers, and sovereign AI initiatives.
5+ YOEBachelor’s or master’s degree in computer science, computer engineering, or equivalent; 5–10 years of industry experience; deep compiler knowledge and software product development experience.
TensorFlow, PyTorch, MLIR
2w
Save
Mark Applied
Hide
Senior Compiler Engineer Infrastructure
Santa Clara or Austin or Texas or Washington or California or Redmond
$152k-$242k/yr HybridFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
3+ YOEBachelor's, master's, or doctoral degree in computer science, computer engineering, or related field; 3+ years with large-scale codebases; strong C++, compiler internals, open-source frameworks, and developer infrastructure experience.
LLVM, Clang, MLIR, C++, CUDA, CI
3mo
Save
Mark Applied
Hide
Member of Technical Staff, Hardware, Compiler Engineer
Palo Alto or Austin
$200k-$420k/yr OnsiteFull Time
River AI
River AI: Full-stack AI building personal AI, custom models, training infrastructure, and local hardware for developers and enterprises.
5+ YOEBachelor's in EE/CE and 5+ years experience with advanced process nodes; deep experience with MLIR/XLA and PyTorch internals; strong C/C++ skills and computer architecture knowledge.
PyTorch, MLIR, XLA, LLVM, Triton, CUDA, C, C++
11mo
Save
Mark Applied
Hide
Compiler Engineer - Algorithmic Workloads Compilation
Austin or Palo Alto
RemoteFull Time
Mythic
Mythic: Private semiconductor developing analog compute-in-memory processors for AI inference in data centers, automotive, robotics, and defense.
3+ YOEDesign compiler IRs and lowering strategies for algorithmic workloads with irregular or dynamic control flow; collaborate with hardware engineers; strong C++ and Python; familiarity with MLIR/LLVM.
C++, Python, MLIR, LLVM
1y
Save
Mark Applied
Hide
Compiler Developer
Dresden or Austin
OnsiteFull Time
SEMRON
SEMRON: German private semiconductor startup developing energy-efficient in-memory AI chips for smartphones and other compact smart devices.
2+ YOEStrong C++ expertise; experience with compiler toolchains (LLVM, MLIR/IREE/TVM); knowledge of polyhedral compilation.
C++, LLVM, MLIR, IREE, TVM
6d
Save
Mark Applied
Hide
Compiler Tools Engineer
Austin, Texas, United States
$117k-$175k/yr OnsiteFull Time
Qualcomm Technologies, Inc.
Qualcomm Technologies, Inc.: Developing semiconductor, wireless, connectivity, automotive, AI, and computing technologies for device and enterprise customers.
5+ YOERequires 5+ years of compiler engineering experience, modern C/C++ skills, production compiler framework experience, and a bachelor's degree in a relevant field; LLVM/MLIR and machine learning compiler experience preferred.
LLVM, MLIR, GCC, C, C++, PyTorch, TensorFlow, ONNX