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What you will be doing:
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.
Research, design and implement features for HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow/PyTorch.
Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.
Research, design and develop hardware features relevant for scientific, Deep learning, and data-intensive workloads.
What we need to see:
Ph.D., in computer science, computer engineering, or a closely related field (or equivalent experience).
2+ years of experience in parallel programming models, and/or network architecture.
Strong programming and software development skills, minimum 4 years of programming experience is required
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:
Deep understanding of technology and passionate about what you do.
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
Previous experience in ONE or more of the following areas:
Experience designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, and Shared Memory;
Background with implementing communications libraries, particularly MPI, OpenSHMEM, or PGAS;
Programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators.
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