NVIDIA is seeking a Solutions Architect with expertise in datacenter design, networking, system architecture, and software deployments. In this role, you will collaborate with NVIDIA Cloud Partners (NCP) to drive AI-focused initiatives, contribute to product advancements, and support key technical accounts in the field of accelerated computing and Generative AI.

Key Responsibilities:

• Engage with NCP to drive initiatives and shape new business opportunities in AI and cloud solutions.

• Identify opportunities for NVIDIA products in datacenters and AI applications, collaborating with Engineering, Product Management, and Sales teams.

• Serve as a technical specialist for GPU and networking products, and work with account managers to secure design wins.

• Conduct technical customer meetings to discuss project roadmaps, features, and introduce new technology solutions.

• Lead technical aspects of complex data center deployments and respond to RFP/RFI proposals.

• Drive the pre-sales process with strong technical presentations and customer-focused problem-solving.

Job Requirements:

• MS/PhD or equivalent in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field.

• At least 5 years of work or research experience in networking fundamentals, TCP/IP stack, and data center designs.

• 5+ years of Solution Architect experience, with skills to drive the technical pre-sales process.

• Expertise in datacenter engineering, GPU systems, and high-performance networking, including network topologies and storage architecture.

• Proficiency in system-level aspects such as Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure.

• Expertise in cloud orchestration software and job schedulers like Kubernetes, Docker Swarm, and HPC-specific schedulers.

• Familiarity with cloud-native technologies and their integration with traditional infrastructure.

Additional Desired Skills:

• Knowledge in InfiniBand and Artificial Intelligence infrastructure.

• Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies, ARM CPU solutions, and proficiency in C/C++ programming.

• Experience with DevOps/MLOps technologies like Docker/containers, Kubernetes, and large-scale systems management.

• Experience with Python programming and AI workflow development (training/inference).

Additional Information:

• Full-time, on-site position.

• Highly competitive salary and benefits package.

• Opportunities to work at the forefront of AI, HPC, and Visualization technologies.