Manager, Solutions Architecture – Emerging AI Labs

🕒 August 10

🏄 California, Colorado, +1 more states – Remote

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

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

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

• Recruit and manage a team of solutions architects, system/network engineers, and software engineers focused on large-scale GPU and AI networking deployments. • Set priorities, allocate resources, mentor team members, and ensure high-quality customer delivery across concurrent projects. • Participate directly in technical reviews, design decisions, and critical debugging efforts. • Provide subject-matter expertise in GPU and network systems and serve as senior technical contact for strategic customers and emerging AI labs. • Lead compute and network configuration and performance debugging to deliver reliable clusters. • Guide compute, network, and software architecture discussions and support server, network, and cluster bring-up, including on-site data center work where needed. • Collect and synthesize customer-specific requirements. • Partner with GPU and Network Systems Engineering, Product Management, and Sales to influence roadmaps and reference designs. • Expand NVIDIA solution engagements across strategic AI-lab customers.

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • 8+ years of experience in Systems, Solutions, Field Engineering, Network Engineering, Data Center Engineering, or similar roles • 2+ years leading or mentoring engineers or architects • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers • Experience with Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting • Familiarity with data center infrastructure, including power, cooling, and deployment constraints • Ability to lead technical teams, set priorities, and drive complex projects from design through production • Experience working with Product Management, Sales, and Engineering • Strong time management and ability to balance planning with hands-on support • Excellent written and verbal communication, including customer meetings, status and risk communication, design documents, debug summaries, and presentations • Direct people management and recruiting experience for geographically distributed technical teams • Track record leading bring-up and deployment of large clusters or supercomputing environments • Experience with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing architecture or field engineering roles • Systems engineering, coding, and debugging skills, including C/C++, Linux kernel, and drivers • Hands-on experience with NVIDIA GPU systems and SDKs such as CUDA, NVIDIA networking technologies, RoCE, InfiniBand, and/or ARM-based CPU solutions • Familiarity with virtualization and cloud-native networking concepts • Willingness to travel up to 20% for on-site customer visits and industry events

🏖️ Benefits

• Equity • Benefits • Remote work locations • Occasional travel opportunities for on-site customer visits and industry events