Solutions Architect, AI Factory Infrastructure

🕒 August 4

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

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

💵 $124k - $195.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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 focused on hybrid deployments between cloud and on-premises environments • Deliver hybrid cloud architectures for data pipelines, storage, security, and user streaming connectivity • Provide expertise in infrastructure workflows, including hardware, task coordination, and application tuning • Understand solution trade-offs and propose the best architecture and technical execution to enterprise customers • 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 • 3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise • Passion for groundbreaking IT infrastructures that optimize AI workloads • Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, and cloud native tooling • Familiarity with Linux system environments and systems administration • Comfortable with Python programming • Understanding how software and hardware work together to optimize applications • Ability to work independently with a remote team with minimal direction • Outstanding communication skills, strong interpersonal skills, and excellent teamwork • Experience with on-prem infrastructure architecture and big cloud deployments • Experience with Terraform, Kubernetes, and Helm • Background building large-scale infrastructure that delivers workloads via containers • Experience developing and deploying solutions in hybrid and/or cloud environments • Critical thinking capabilities leveraging fundamentals to solve unforeseen problems

🏖️ Benefits

• Equity • Benefits