Compiler Engineer, HPC - New College Grad 2024

Posted:
9/9/2024, 2:42:15 PM

Location(s):
Austin, Texas, United States ⋅ Texas, United States ⋅ Oregon, United States ⋅ Redmond, Washington, United States ⋅ Hillsboro, Oregon, United States ⋅ California, United States ⋅ Washington, United States

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Software Engineering

NVIDIA's HPC Compiler group wants to hire a Compiler Engineer to join the team building one of the world's most important optimizing compilers. We are seeking developers with a strong background in compiler development, a love of programming and a flair for software engineering, and who want to make a difference to the scientists and engineers using our compilers on supercomputers worldwide. If you want a front-row seat to innovative compiler development in high-performance computing, then we want you!

What you'll be doing:

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

  • Implement new OpenACC and OpenMP features in our C, C++ and Fortran compilers for both NVIDIA GPUs and Multicore CPUs

  • Participate in the evolution of standard language parallelism for GPUs

  • 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 Degree in Computer Science, ECE or related (or equivalent experience)

  • Experience developing production-quality compilers, tools, or similar software

  • Proven understanding of compiler internals including experience working on one or more compiler phases

  • 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:

  • You have a real passion for compiler development

  • Familiarity with OpenACC, OpenMP, or CUDA

  • Experience with GPU-based parallel computing

  • Knowledge of Fortran semantics

  • Direct experience with LLVM is a huge plus

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!

The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality