Senior Solutions Architect, AI Factory Infrastructure

🕒 April 21

🏄 California, North Carolina, +1 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote ☕ Washington – Remote

💵 $224k - $431.3k / 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

• Help customers with their AI factory journey, including workflow pipelines and performance optimization • Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows • Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines • Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem • Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity • Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning • Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution • Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

🎯 Requirements

• Bachelor's degree or equivalent experience in Engineering or Computer Science • 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise • An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads • Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments • Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery • Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries • Mastery of how software and hardware work together to optimize applications • Confident experience with AI workloads, with an emphasis on inference workloads • Ability to work independently with a remote team with minimal direction • Outstanding communication skills, strong interpersonal and be an excellent teammate!

🏖️ Benefits

• equity • benefits