NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are looking for a highly motivated software engineering intern for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning.
What you will be doing:
- Learn about GPU communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. NVSHMEM, UCX for MPI/OpenSHMEM) on GPU clusters.
- In-depth performance characterization of one of these runtimes to identify new features
- Enhance the existing CI/CD infrastructure
- Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
- Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.
What we need to see:
- Pursuing M.S./Ph.D. degree in CS/CE.
- Excellent C/C++ programming and debugging skills.
- Strong experience with Linux.
- Expert understanding of computer system architecture and operating systems.
- Experience with parallel programming interfaces and communication runtimes.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
- Deep understanding of technology and passionate about what you do.
- Experience with CUDA programming and NVIDIA GPUs.
- Knowledge of high-performance networks like InfiniBand, iWARP etc.
- Experience with HPC applications.
- Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.
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!
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.
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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.”
