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What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal 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:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).
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