Manager, Solutions Architecture – AI Labs

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Oversee the recruitment and management of a team consisting of solutions architects, systems/network engineers, and software engineers dedicated to large-scale GPU and AI networking implementations.

• Establish priorities, allocate resources effectively, mentor team members, and guarantee high-quality delivery for customers across multiple concurrent projects.

• Engage directly in technical reviews, design decisions, and essential debugging activities.

• Serve as the senior technical contact for a strategic AI lab, offering subject-matter expertise in advanced GPU and network systems.

• Direct compute and network configuration as well as performance troubleshooting to ensure the reliability of clusters.

• Facilitate discussions related to compute, network, and software architecture, while supporting server, network, and cluster deployment, which may include on-site data center work as necessary.

• Gather and synthesize specific customer requirements.

• Collaborate with GPU and Network Systems Engineering, Product Management, and Sales to shape roadmap priorities and develop package reference designs and solutions.

• Work alongside customer engineering and security teams to understand security needs and convert them into scalable AI infrastructure.

• Lead customer meetings, communicate project status and risks, and create design documents, debugging summaries, and presentations.

⛳️ Requirements

• Bachelor’s, Master’s, or PhD in Electrical/Computer Engineering, Computer Science, Physics, or a related Engineering field, or equivalent professional experience.

• At least 8 years of experience in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or comparable roles.

• Minimum of 2 years in a leadership or mentoring capacity for engineers or architects.

• Direct experience in people management and recruitment for technical teams distributed across different geographical locations.

• In-depth knowledge of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.

• Proficient in data center networking, including Ethernet and/or InfiniBand switches, NICs, fabrics, related tools, and cluster performance troubleshooting.

• Understanding of data center infrastructure, encompassing power, cooling, and deployment limitations.

• Capable of leading technical teams, setting priorities, and managing complex projects from design to production.

• Experience collaborating with Product Management, Sales, and Engineering teams.

• Strong time management skills, with the ability to balance strategic planning and hands-on support.

• Exceptional written and verbal communication skills, necessary for customer meetings, status updates, risk communication, design documentation, debugging summaries, and presentations.

• Proven history of leading the deployment and bring-up of large clusters or supercomputing environments.

• Background in AI labs or frontier-model infrastructure deployments in customer-facing roles.

• Proficient in systems engineering, coding, and debugging, including knowledge of C/C++, Linux kernel, and drivers.

• Practical experience with NVIDIA GPU systems and SDKs such as CUDA, NVIDIA networking technologies like NICs, RoCE, or InfiniBand, as well as ARM-based CPU solutions.

• Familiarity with virtualization and cloud-native networking principles.

• Willingness to travel occasionally, up to 20%, for on-site customer engagements and industry events.

🏝️ Benefits

• Equity

• Benefits

• Remote work options

• NVIDIA utilizes extensive conferencing tools

• Occasional travel up to 20% for on-site customer visits and industry events