Senior Solutions Architect, NPN

🕒 April 14

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks. • Delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. • Collaborating with executives and engineering to solve complex problems. • Helping bring NVIDIA's premiere technologies to life in the cloud and in the datacenter.

🎯 Requirements

• Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience). • Established track record working with AI and HPC clusters, both on-premises and cloud based. • 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. • Hands-on experience with network, storage, cluster configuration and debugging. • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. • Ability to multitask efficiently in a dynamic environment. • Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities. • Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions. • Exhibit hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs. • Willingness and ability to learn quickly and solve advanced problems.

🏖️ Benefits

• equity • benefits