Solutions Architect - NVIDIA Cloud Partners
at Nvidia
π Santa Clara, United States
USD 184,000-356,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Communication @ 6 Networking @ 3 Debugging @ 3 GPU @ 3Details
NVIDIA is looking for an experienced Solutions Architect to bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. The role supports customers and NVIDIA Cloud Partners to bring GenAI, AI, ML and other GPU-accelerated hardware and software technologies into production. You will drive end-to-end solution integration, provide technical recommendations to business and engineering teams, and support customers through the full lifecycle of large GPU cloud infrastructure projects.
Responsibilities
- Collaborate with NVIDIA Cloud Partners to create, implement, and operate NVIDIA hardware and software solutions.
- Partner with Sales Account Managers and business leads to identify and secure business opportunities for NVIDIA products and solutions.
- Act as primary technical support for customers during development, construction and production of large GPU cloud infrastructure across the whole customer lifecycle.
- Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, and debugging sessions.
- Work with customers to build proofs-of-concept (PoCs) that address critical business needs by designing networking and compute infrastructure.
- Prepare and deliver technical content to customers including presentations, workshops, and technical briefings.
- Analyze and develop joint solutions addressing customer performance and scaling issues.
Requirements
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other engineering fields, or equivalent experience.
- 7+ years of solution engineering, sales engineering, cloud engineering, or similar experience working directly with partners and customers.
- Demonstrated experience crafting and deploying large-scale cluster environments.
- Practical expertise in data center design, development, and execution for AI and HPC workloads.
- Ability to own and drive technical engagements with customers through the full customer lifecycle.
- Strong time management and ability to balance multiple tasks; clear communication skills through documents and presentations.
Ways to stand out
- Practical familiarity with NVIDIA hardware (GPUs, Ethernet/InfiniBand networking components, storage) within large AI and HPC cluster settings.
- Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
- Background with at-scale GPU systems, including performance testing and AI benchmarking.
- Practical involvement in cluster administration and orchestration (SLURM, Kubernetes).
Compensation & Benefits
- Base salary ranges by level:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits (see NVIDIA benefits page).
Application & Other Details
- Location: Santa Clara, CA, United States.
- Employment type: Full time.
- Applications accepted at least until October 19, 2025.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.