Senior Software Engineer, GPU Communications and Networking
About The Position
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 senior software engineer 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.
Requirements
- M.S./Ph.D. degree in CS/CE or equivalent experience.
- 5+ years of relevant experience.
- 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.
Nice To Haves
- 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.
Responsibilities
- Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
- Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.
- Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
- Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.
Benefits
- NVIDIA offers highly competitive salaries and a comprehensive benefits package.
- You will also be eligible for equity and benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
