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NVIDIA has been transforming 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.
What you will be doing:
high-performance networking and system software.We research, develop, and deploy solutions in networking hardware, programming environments, and system software to make current and future high-end computer systems more performant, scalable, and usable.
Design and Implement features for AI communication middleware and networking libraries to improve performance, resiliency and scalability.
Develop features for libraries such as NCCL, Open MPI, UCX, UCC, NVSHMEM, and VERBS
Develop features for Deep Learning frameworks such as PyTorch and TensorFlow
Creating proofs-of-concept to evaluate and motivate extensions in AI Frameworks (PyTorch/NEMO), HPC programming models (MPI, OpenSHMEM, PGAS), new runtime designs, and new network hardware features.
What we need to see:
A Bachelors. or Masters, in computer science, computer engineering, or a closely related field or equivalent experience.
5+ years of experience in parallel programming models, and/or network architecture.
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
Ways to stand out from the crowd:
Previous experience in ONE or more of the following areas:
Background with designing communication middleware for high-performance computing systems and super clusters, including InfiniBand, DPUs, Ethernet, and Shared Memory;
Experience simulating and evaluating network capabilities and features
programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators.
You will also be eligible for equity and .
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