NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA is looking for a creative HPC software architect to lead the shaping of future high performance computing and networks. We research, develop, and deploy solutions in the networking hardware, programming environments, and system software to make future high-end computer systems more performant, scalable, and more usable. Come join the team and see how you can make a lasting impact on the world.
What you will be doing:
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Creating proof-of-concepts to evaluate and motivate extensions in programming models (MPI, OpenSHMEM, PGAS), new designs in runtimes, and new features in the network hardware.
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Research, design and implement features for HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow/PyTorch.
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Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.
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Research, design and develop hardware features relevant for scientific, Deep learning, and data-intensive workloads.
What we need to see:
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Ph.D., in computer science, computer engineering, or a closely related field (or equivalent experience).
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2+ years of experience in parallel programming models, and/or network architecture.
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Strong programming and software development skills, minimum 4 years of programming experience is required
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Background in algorithm design, system programming, and computer architecture.
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Strong programming and software development skills.
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Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
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Deep understanding of technology and passionate about what you do.
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Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
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Previous experience in ONE or more of the following areas:
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Experience designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, and Shared Memory;
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Background with implementing communications libraries, particularly MPI, OpenSHMEM, or PGAS;
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Programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators.
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.
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.”
