Solutions Architect - NVIDIA Cloud Partners
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Networking @ 3 Debugging @ 3 GPU @ 3Details
We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. You will help bring GenAI, AI, ML and related hardware and software technologies to production in the field, driving end-to-end technology solution integration with NVIDIA's strategic customers and offering recommendations to business and engineering teams based on customer feedback.
Responsibilities
- Work with NVIDIA Cloud Partners to develop, deploy, and operationalize NVIDIA's hardware and software solutions.
- Partner with Sales Account Managers and business leads to identify and secure business opportunities for NVIDIA products and solutions.
- Serve as the go-to technical resource for customers building large-scale GPU cloud infrastructure.
- 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) by building out networking and compute infrastructure.
- Prepare and deliver technical content to customers including presentations and workshops.
- Analyze and develop joint solutions for customer performance and scaling issues.
Requirements
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other engineering fields, or equivalent experience.
- Motivation and skills to drive technical pre-sales activities.
- 5+ years of Solution Engineering or similar experience (Sales Engineering, Cloud Engineering).
- Experience designing and deploying large-scale cluster environments.
- Practical knowledge in data center design for AI and HPC.
- Efficient time management and ability to balance multiple tasks.
- Ability to communicate ideas clearly via documents and presentations.
Ways to stand out
- Hands-on experience with NVIDIA hardware (GPUs, networking) in large-scale AI and HPC cluster environments.
- Hands-on experience with NVIDIA systems software (including but not limited to NCCL, DCGM).
- Experience with GPU systems including performance testing and AI benchmarking.
- Hands-on experience with cluster management and orchestration (SLURM, Kubernetes).
- Creative problem-solving and debugging ability.
Compensation & Benefits
Your base salary will be determined based on location, experience, and comparable pay. Base salary ranges provided:
- Level 3: 148,000 USD - 235,750 USD per year
- Level 4: 184,000 USD - 287,500 USD per year
You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional information
Applications for this job will be accepted at least until September 13, 2025.
NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. 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.