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NVIDIA
US, CA, Santa Clara; US, TX, Remote; US, CO, Remote; US, CA, Remote
Source: NVIDIA careers · View original posting
From NVIDIA's posting. “We” and “our” refer to the employer.
NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers?
As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic AI-native customers and emerging AI labs, while directly contributing to solution design and deep-dive debugging and product roadmap shaping through customer feedback.
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).
System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. Experience with data center networking including Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting. Familiarity with data center infrastructure (power, cooling, deployment constraints).
Proven ability to lead technical teams, set priorities, and drive complex projects from design through production. Demonstrated success working with Product Management, Sales, and Engineering.
Strong time management skills and ability to balance planning with hands-on support where needed.
Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.
Direct people management & recruiting experience for geographically distributed technical teams.
Track record leading bring-up and deployment of large clusters or supercomputing environments.
Background working with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing roles (field engineering, or pre/post-sales architecture).
Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers.
Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions.
Familiarity with virtualization and cloud-native networking concepts.
We make extensive use of conferencing tools, but occasional travel (up to 20%) is required for on-site customer visits and industry events. We are open to remote work locations and look forward to have you join our team!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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