Do you want to learn how compiler technology is enabling GPUs for high performance computing? NVIDIA's HPC Compiler team is looking for an intern to join our team developing one of the world's most important optimizing compilers.
What you'll be doing:
-
You will work directly with our compiler engineers to improve or enable interesting features or experiments for CPUs or GPUs in our C, C++, and Fortran compilers.
-
Our team builds the compilers and tools that influence the future of HPC and help drive future implementations of C, C++, Fortran, OpenMP, and OpenACC.
-
Having coursework in compilers and knowing one or more of C++, CUDA, OpenMP or OpenACC is a huge plus!
What we need to see:
-
Currently pursuing a Master's or Ph.D. in Computer Science
-
Knowledge of computer architecture fundamentals and compiler internals
-
Proven C or C++ programming skills
-
Experience with Linux
Ways to stand out from the crowd:
-
Knowledge of Modern C++ semantics
-
Experience with GPU-based parallel computing
-
Familiarity with parallel programming (OpenMP, OpenACC, MPI)
-
Direct experience with LLVM IR
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and expert people in the world working for us. If you're creative and autonomous, we want to hear from you!
The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern 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.
Top Skills
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.”
_0.png)
