Senior Compiler Engineer - HPC

Reposted Yesterday
Be an Early Applicant
4 Locations
In-Office or Remote
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize compilers for high-performance computing, implement parallel languages, and collaborate with peers on compiler designs.
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-level optimization for GPUs and CPUs using MLIR and LLVM.

What you'll be doing:

  • Solve difficult problems at the intersection of compilers, 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

  • 5+ years experience developing production-quality compilers, tools, 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

NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2025.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
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Cox Enterprises Logo Cox Enterprises

Sales Representative

Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
Remote or Hybrid
Texas, USA
50000 Employees
32K-86K Annually

CrowdStrike Logo CrowdStrike

Regional Partner Services Manager (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
2 Locations
10000 Employees
60K-95K Annually

Motorola Solutions Logo Motorola Solutions

Solutions Architect

Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Remote or Hybrid
Texas, USA
23000 Employees
105K-115K Annually

King's Hawaiian Logo King's Hawaiian

Account Manager

Food • Retail • Sales • Manufacturing
Remote or Hybrid
TX, USA
1411 Employees

Similar Companies Hiring

LayerOne Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account