Networking Solutions Architect

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 drive end-to-end technology solutions with some of NVIDIA's most strategic customers, offering technical insight and support to business and engineering teams based on product strategy.

Responsibilities:

• Work with tech giants to develop and demonstrate solutions based on NVIDIA's software and hardware technologies.
• Help customers debug issues, manage feature request processes, and coordinate co-engineering programs.
• 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 and help them understand performance characteristics for solutions.
• Work with customers to build Proofs of Concept (PoCs) for solutions to address critical business needs.
• Prepare and deliver technical content to customers, including presentations and workshops.
• Analyze and develop solutions for customer performance issues for both AI workload and systems performance.

Requirements:

• 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.
• 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.
• Strong analytical and problem-solving skills.
• Ability to multitask efficiently in a dynamic environment and work with teams across geographical locations.
• Clear written and oral communication skills.

Preferred Qualifications:

• Deep understanding and hands-on experience with Ethernet Switch software solution and data center production network.
• Strong experience with RDMA/RoCE and smart NICs.
• Hands-on experience with GPU and Networking systems, including performance testing/tuning and benchmarking.
• 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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.