Senior Solutions Architect, Supercomputing

🕒 October 14

🏄 California, Illinois, +1 more states – Remote

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💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Engage with customers, partners, and NVIDIA software engineers to collaborate with developers and support applications and platforms leveraging NVIDIA technology • Partner with industry and account teams in a customer-facing role to understand customer goals, strategies, and technical needs • Help define and deliver high-value solutions meeting customer needs • Document knowledge and teach others through targeted samples, white papers, blogs, wiki articles, and customer problem-solving sessions • Lead integration of NVIDIA technology into AI workloads and workflows, HPC, and enterprise GPU and networking architectures for datacenter and edge applications • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform • Educate customers through product roadmaps, presentations, briefings, and hands-on developer engagement • Serve as a trusted technical advisor and leader to partners, customers, and the Solutions Architect team • Travel as needed to support partners and customers

🎯 Requirements

• This position requires a security clearance and U.S. citizenship • Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience • 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs • Background working with modern application deployment practices including Slurm, Docker/Containers, and Kubernetes • Experience with modern Generative AI and Agentic AI architecture and frameworks • Strong written and oral communication skills • Experience supporting customers/partners in technical engagements • Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects • Strong analytical and problem-solving skills • Experience applying data science to industry problems • Experience using GPGPU programming and design practices • CUDA programming and optimization experience • Experience with network software development • Published record of thought leadership in a technical area or industry segment, including Deep Neural Network, Machine Learning R&D, Agentic AI, surrogate Models, or foundation models

🏖️ Benefits

• Equity • Benefits • Some travel is required for this role • Flexible/empowered work approach to find the best way to get the job done

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