HPC Compiler Developer

Reposted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
152K-242K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize compilers for high-performance computing, focusing on C++, Fortran, and Python. Collaborate with teams to enhance compiler features for GPUs and CPUs.
Summary Generated by Built In

NVIDIA’s HPC compiler group wants to hire a Compiler Developer to join the team building one of the world's most important optimizing compilers. If you want to be in the driver seat of state-of-the-art compiler development for high-performance computing, then we want you! We're the team implementing C++ Standard Language Parallel Algorithms, OpenACC, and Flang with a keen focus on high performance for GPUs and CPUs using MLIR, LLVM, and runtime libraries.

What you'll be doing:

  • Solve difficult problems at the intersection of compilers, runtime libraries, programming models, and high-performance computing architectures

  • Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs

  • Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs

  • Balance individual effort with teamwork throughout debugging, prototyping, and productization

  • Discuss and refine software designs and implementation strategies with peers

  • Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community

What we need to see:

  • Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience

  • 3+ years experience developing production-quality compilers, libraries, or similar software

  • Proven understanding of compiler internals including experience targeting auto-parallelization and GPU targets

  • Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations

Ways to stand out from the crowd:

  • Direct experience with Fortran or GPU programming models is a huge plus

  • Experience writing code using Modern C++

  • Experience with GPU-based parallel computing

  • Familiarity with C++, Fortran, OpenACC, OpenMP, or CUDA compilation

  • You have a real passion for compiler development

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.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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++
Cuda
Fortran
Llvm
Mlir
Openacc
Openmp
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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