Nvidia Solutions Architect Networking - Cloud Service Providers 

United States, Texas 

103151828

What you’ll be doing:

• Working with Cloud Solution Provider customers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. A huge part of the day to day job is to help customers debug issues, lead 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.

• Be the go-to technical resource for customers building large-scale 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.

• 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.

What we need to see:

• 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.

• Ability to multitask efficiently in a complex 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.

Ways to stand out from the crowd:

• Deep understanding and hands-on experience with Ethernet Switch software solution and data center production network.

• Extensive experience with RDMA/RoCE and hard-working NICs.

• 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.

• Demonstrate expertise through developed projects or Open Source contributions in DPDK, IP Sec, HPC, Cloud Native Projects, Kubernetes, Slurm for enabling GPU workloads as well as experience in supporting Deep Learning, Machine Learning or HPC networking