Solutions Architect, Supercomputing

🕒 April 20

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

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

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. • Document what you know and teach others. • Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge. • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. • Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

🎯 Requirements

• Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience. • 5+ 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 but not limited to Slurm, Docker/Containers, and Kubernetes. • Experience with modern Generative AI and Agentic AI architecture and frameworks. • 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.

🏖️ Benefits

• equity • benefits