Do you want to be part of a team that brings new Artificial Intelligence (AI) technology to NVIDIA's largest customers? We are looking for an experienced networking Solutions Architect to support accelerated computing networking solutions for AI/ML and HPC on hyperscalers! As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA's most strategic customers with both hardware and software solutions while offering technical insight and support to business and engineering teams based on product strategy.
What you'll be doing:
• Working with tech giants to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies. A big part of the day to day job is to help customers debug issues, manage feature request processes, and coordinate the co-engineering program. Working with tech giants to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies. A big part of the day to day job is to help customers debug issues, manage feature request processes, and coordinate the co-engineering program.
• Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions. Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Be the go-to technical resource for customers building complex AI infrastructure as well as helping them understand performance characteristics for solutions Be the go-to technical resource for customers building complex AI infrastructure as well as helping them understand performance characteristics for solutions
• Work with customers to build PoCs for solutions to address critical business needs Work with customers to build PoCs for solutions to address critical business needs
• Prepare and deliver technical content to customers including presentations, workshops, etc. Prepare and deliver technical content to customers including presentations, workshops, etc.
• Analyze and develop solutions for customer performance issues for both AI workload and systems performance Analyze and develop solutions for customer performance issues for both AI workload and systems performance
What we need to see:
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• 5+ years of engineering(performance/system/solution) experience 5+ years of engineering(performance/system/solution) experience
• Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network. Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network.
• Experience with Ethernet L2-L7 networking protocol stack. Experience with Ethernet L2-L7 networking protocol stack.
• Strong analytical and problem-solving skills Strong analytical and problem-solving skills
• Ability to multitask efficiently in a dynamic environment, ability to work with teams across geographical locations Ability to multitask efficiently in a dynamic environment, ability to work with teams across geographical locations
• Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams. Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
Ways to stand out from the crowd:
• Deep understanding and hands on experience with Ethernet Switch software solution and data center production network. Deep understanding and hands on experience with Ethernet Switch software solution and data center production network.
• Strong experience with RDMA/RoCE and smart NICs Strong experience with RDMA/RoCE and smart NICs
• Hands on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc. Hands on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc.
• Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows. Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows.
• Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies. Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies.
You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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