Senior Solutions Architect - AI Infrastructure Engineer

June 17

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

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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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Collaborate as a key technical advisor for the design, build-out, and optimization of university-level research computing infrastructures powering GPU-accelerated scientific workflows • Work with university research computing to optimize hardware utilization with software orchestration tools such as NVIDIA Base Command, Kubernetes, Slurm, and Jupyter notebook environments • Implement systems monitoring and management tools to help optimize resource utilization, and gain insight into most demanding application workloads at research computing centers • Document what you learn. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a researcher on a whiteboard • Collaborate with researchers to gather feature requests and product feedback for product and engineering teams

🎯 Requirements

• BS/MS/PhD in Engineering, Mathematics, Physical Sciences, or Computer Science (or equivalent experience). • 8+ years of relevant work experience • Strong experience in designing and deploying GPU-accelerated computing infrastructure • In-depth knowledge of cluster orchestration and job scheduling technologies, e.g. Slurm, Kubernetes, Ansible and/or Open OnDemand • Experience with container tools (Docker, Singularity) including at-scale deployment of containerized environments • Expertise in systems monitoring, telemetry, and systems performance optimization of research computing environments. • Familiarity with tools such as Prometheus, Grafana, and NVIDIA DCGM • Understanding of datacenter networking technologies (InfiniBand, Ethernet, OFED) and experience with network configuration • Familiarity with power and cooling systems architecture for data center infrastructure

🏖️ Benefits

• eligible for equity and benefits • NVIDIA accepts applications on an ongoing basis • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer