Senior Solutions Architect

September 15

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Description

• Guide partners in their adoption of end-to-end Machine Learning and Deep Learning solutions. • Help build modern AI factories using Kubernetes, SaaS, infrastructure-as-code tools. • Collaborate with executives and engineering to solve complex problems and bring NVIDIA's technologies to life.

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+ 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 and NEMO cloud native framework. • Willingness and ability to learn quickly and solve advanced problems.

Benefits

• Eligible for equity • Benefits