Senior HPC Architect, Automation, At-Scale Deployment

🕒 April 30

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

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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

• Provide engineering solutions to operationalize the latest GPU Computing products and software stacks • Ensure technical relationships with internal and external engineering teams • Assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community

🎯 Requirements

• 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions • Solid understanding of accelerated computing scheduling and I/O stacks • C/C++/Python/Bash programming/scripting experience • Experience working with engineering or academic research community supporting high performance computing or deep learning • Experience with parallel filesystems • Strong teamwork and communication skills, both verbal and written • Ability to multitask effectively in a dynamic environment • Action driven with strong analytical skills • Desire to be involved in multiple diverse and innovative projects • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science • MS or PhD desirable

🏖️ Benefits

• highly competitive salaries • comprehensive benefits package