Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Communication @ 6 Networking @ 3 Debugging @ 3 GPU @ 3Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is focused on enabling the next era of computing powered by AI and accelerated GPUs. The Solutions Architect on the NVIDIA Cloud Partners team helps bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure, working directly with cloud partners, customers, and internal business and engineering teams throughout the customer lifecycle.
Responsibilities
- Collaborate with NVIDIA Cloud Partners to design, implement, and operationalize NVIDIA hardware and software solutions.
- Partner with Sales Account Managers and business leads to identify and secure 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 full 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) addressing critical business needs by designing and building networking and compute infrastructure.
- Prepare and deliver technical content to customers, including presentations, workshops, and demos.
- Analyze and develop joint solutions to address 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.
- Proven experience crafting and deploying large-scale cluster environments.
- Practical expertise in data center design, development, and execution for AI and HPC workloads.
- Strong time management and ability to balance multiple tasks; excellent written and verbal communication skills for documents and presentations.
- Motivation and ability to own and drive technical engagements with customers throughout the full customer lifecycle.
Ways to stand out (Preferred / Nice to have)
- Practical familiarity with NVIDIA hardware (GPUs, Ethernet/InfiniBand networking components, storage) within large AI and HPC cluster settings.
- Practical knowledge of NVIDIA systems software and tools such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
- Experience with at-scale GPU systems, including performance testing, AI benchmarking, and workload tuning.
- Hands-on experience with cluster administration and orchestration tools (SLURM, Kubernetes).
Compensation & Benefits
- Base salary ranges (location and level dependent):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and NVIDIA benefits (see NVIDIA benefits page).
Additional Information
- Applications accepted at least until December 19, 2025.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.