Senior Networking Engineer, Next Generation InfiniBand

NVIDIA is looking for an outstanding engineer for a Next-generation InfiniBand (XDR) Tech 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.
  
  

• 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.
  
  

• 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