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looking for an outstanding engineer for a Next-generation InfiniBand (XDR)Lead role for HPC/AI E2E Verification team. Be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in InfiniBand networking technologies and XDR based High-performance computing. You will work with the latest InfiniBand based Switches, HCAs and Software, together with many researchers, Architects and developers leading differentiated Next-Generation InfiniBand solutions.
What You Will Be Doing:
As a Next-gen InfiniBand XDR lead, you will play a crucial role in crafting and implementing innovative architectures for high-performance computing systems, enabling efficient and scalable computation for AI/ML applications and HPC Benchmarks.
Collaborating closely with multi-functional teams, including hardware engineers, software developers, and domain experts, to deliver optimized solutions that meet the demanding requirements of HPC/AI workloads.
Provide technical guidance and mentorship to team members, fostering partnership, and standard processes within the InfiniBand domain.
Develop and execute comprehensive verification strategies for XDR E2E solutions, ensuring alignment with Nvidia Networking & AI specifications.
Drive continuous improvement initiatives, identifying opportunities to enhance verification processes and methodologies in the context of Nvidia Networking & AI solutions.
What We Need To See:
Bachelor's/Master’s degree in electrical engineering, Computer Science, or equivalent experience in Networking field.
8+ years experience driving large-scale complexed solutions with strong emphasis on networking.
In depth experience and understanding of Linux based networking systems.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work effectively in a collaborative, fast-paced environment.
Ways To Stand Out From The Crowd:
In-depth knowledge of XDR/NDR technology, Nvidia Networking, and AI architectures, protocols, and standards.
Expertise in High-performance computing and Machine learning.
Experience in AI Application benchmarks and Distributed job scheduling
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