Solutions Architect, NPN
Listed on 2026-06-26
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Software Development
AI Engineer (Applied/Software), Unix/Linux
Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large‑scale HPC and AI hybrid computing solutions to join our team Solution Architect on the NVIDIA Partner Network team, we are actively helping NVIDIA AI Factory solutions bring the benefits of large‑scale AI to customers through our partners.
We work closely with customers and partners to address unsolved problems in the industry and help deploy and operationalize AI solutions at scale.
Our day‑to‑day work involves guiding partners in their adoption of end‑to‑end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks. This is a hands‑on role that uses cloud‑native methodologies, low‑latency networks, and accelerated compute to build modern AI factories. We also excel at sharing knowledge through demos, proof‑of‑concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and bring NVIDIA's premiere technologies to life in the cloud and in the datacenter.
WhatWe Need To See
- BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
- Established track record working with AI and HPC clusters, both on‑premises and cloud‑based.
- 5+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
- Hands‑on experience with network, storage, cluster configuration, and debugging.
- Strong analytical and problem‑solving skills, along with an ability to articulate what you know to others.
- Ability to multitask efficiently in a dynamic environment.
- Strong channel sales knowledge and partner co‑selling experience.
- Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
- Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, Infini Band, Ethernet, or other areas related to high‑performance clusters and hybrid cloud solutions.
- Hands‑on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai, and NVIDIA NIMs.
- Willingness and ability to learn quickly and solve advanced problems.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 USD–$241,500 USD for Level 3 and $184,000 USD–$287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 10, 2026.
NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal‑opportunity employer. We do not discriminate 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.
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