Solutions Architect – AI Factory Infrastructure DevOps

🕒 June 15

🏄 California, Ohio, +1 more states – Remote

🏄 California – Remote 🏈 Ohio – 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

🤖 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

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers • Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins • Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts • Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions • Provide on-site support to solve hardware and software problems, with a focus on deep learning inference • Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction • Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site • Offer technical and sales training to direct sales teams and channel partners

🎯 Requirements

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience) • 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM) • 4+ years of working experience with Kubernetes, Slurm, Docker, etc. • Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus • Remarkable talent for effectively handling multiple initiatives and priorities • Strong time-management and social skills for coordinating complex projects • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams

🏖️ Benefits

• equity • benefits