Solutions Architect, Networking
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Role details
Tech stack
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Job description
Do you want to be part of a team that brings new Artificial Intelligence (AI) technology to NVIDIAβs 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 NVIDIAβs 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 youβll be doing:
- Working with tech giants to develop and demonstrate solutions based on NVIDIAβs 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.
- 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
- 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
Requirements
Network Architecture/Engineering, Product Strategy, Computer Networks, Artificial Intelligence (AI), Network Architecture/Engineering, Technical Support, Network Support, Business Support, Debugging Skills, Process Management, * 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, 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.
- 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.
- 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.
Benefits & conditions
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.
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