We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software technologies to production in the field? We are looking for a Solutions Architect to join the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy.
What you'll be doing:
Working with NVIDIA Cloud Partners to develop, deploy, and operationalize NVIDIA's groundbreaking hardware and software solutions.
Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
Be the go-to technical resource for the customers as they develop and build large-scale GPU cloud infrastructure.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.
Prepare and deliver technical content to customers including presentations, workshops, etc.
Analyze and develop joint solutions for customer performance and scaling issues.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
Motivation and skills to help drive technical pre-sales activities.
5+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience
Experience designing and deploying large-scale cluster environments
Practical knowledge in data center design for AI and HPC
Efficient time management and capable of balancing multiple tasks
Ability to communicate ideas clearly through documents, presentations, etc.
Ways to stand out from the crowd:
Hands-on experience with NVIDIA hardware (including GPUs, networking, etc.) in large-scale AI and HPC cluster environments
Hands-on experience with NVIDIA systems software including (but not limited to) NCCL, DCGM, etc.
Experience with GPU systems in general including, but not limited to, performance testing, AI benchmarking, etc.
Hands-on experience with cluster management and orchestration (SLURM, K8s, etc.).
Able to think creatively to debug and solve problems.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 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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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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