Senior Solutions Architect, AI Infrastructure - job 1 of 2
We are currently seeking a Senior Solutions Architect to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution.
What you'll be doing:
Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest NVIDIA GPU supercomputers for new and existing customers.
Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins.
Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.
Provide onsite support to solve hardware and software problems, with a focus on deep learning inference.
Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.
Develop technical solutions including hardware & software demos and example system designs.
Offer technical and sales training to direct sales teams and channel partners.
What we need to see:
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.
Capable of excelling in a dynamic, constantly evolving environment.
Remarkable talent for effectively managing multiple initiatives and priorities.
Expert analytical and problem-solving abilities.
Strong time-management and interpersonal skills for coordinating complex projects.
Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.
Ways to stand out from the crowd:
Experience with ARM and NVIDIA GPU development.
Proficiency in C/C++ and Python programming.
Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.
Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM.
Experience working with OEMs in industrial, military, and ruggedized computing spaces.
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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