Job description
NVIDIA is the world leader in GPU accelerated computing and is looking for a Solutions Architect to focus on HPC, Accelerated Analytics, Deep Learning and Machine Learning solutions to work with our Inside Sales Team in Durham, NC. If these areas are exciting to you, we should talk. As a Solutions Architect, you will work closely with end customers in our North American region - establishing relationships, solving problems with their engineering teams, and helping them build a successful NVIDIA practice.
What you’ll be doing:
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A huge part of the day-to-day job is staying up on the latest improvements in the ecosystem around GPU accelerated environments. You'll also be called on to help architect and scale high-performance computing and virtual workstation environments that incorporate state of the art GPU technology.
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Document what you know, and guide others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a partner on a whiteboard.
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Answer questions and provide mentorship. Work with Account Managers to assist partners and customers on their mission critical projects. You will help them to build their GPU enabled Accelerated Compute datacenters, and get the most out of their investment.
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We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to figure out the best way to get your job done, and do what it takes to make our partners successful.
What we need to see:
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BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
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8+ years of work related experience in software development, Machine Learning, or high-performance computing, with GPU and CUDA experience highly desirable.
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Experience working with DevOps including but not limited to Docker/Containers, Kubernetes and datacenter deployments.
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Deep understanding of dense datacenter design including compute, Storage and networking.
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Some experience with modern Deep Learning software architecture and frameworks.
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Experience with supercomputing and technical computing environments
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Ability to multitask effectively in a dynamic environment.
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Strong analytical and problem-solving skills.
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Clear written and oral communications skills with the ability to effectively collaborate with management and engineering.
Ways to stand out from the crowd:
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Experience with Deep Learning frameworks, data-heavy applications, C and Python programming, shell scripting, virtualization, cloud services, and Linux.
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Prior work, and a passion for, automating tasks and building repeatable environments.
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Have a willingness and ability to dig into unfamiliar territories to solve complex 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and
benefits
.
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