Senior Solutions Architect - AI Infrastructure

About the role

NVIDIA is seeking a Senior Solutions Architect to join the NVIDIA Cloud Partners team. The ideal candidate will have a strong background in cluster design, validation, and issue resolution, specifically in GPU and HPC clusters. The role involves working closely with NVIDIA Cloud Partners to design and validate next-generation GPU-based clusters, ensuring they meet the most demanding requirements.

Responsibilities

• Partner with NVIDIA Cloud Partners in GPU cluster design and networking, conveying architecture and optimal process information.
• Guide NVIDIA Cloud Partners in cluster design, balancing design principles with complex, situational limitations to create the most performant and supportable clusters.
• Work closely with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies.
• Feed customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters.
• Perform hands-on work to assist NVIDIA Cloud Partners in debugging issues relating to cluster design, configuration, and performance.
• Employ internal engineering expertise and known bugs to support NPI customer deployments with new GPU/Networking architectures.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).
• 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.
• Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
• Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material.
• Experience leading large-scale AI Factory or HPC cluster bring-ups or builds.
• Hands-on experience with NVIDIA products including, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc.
• Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs.
• External customer-facing skill-set and background.
• Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).
• 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.
• Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
• Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material.
• Experience leading large-scale AI Factory or HPC cluster bring-ups or builds.
• Hands-on experience with NVIDIA products including, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc.
• Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs.
• External customer-facing skill-set and background.
• Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems.

Skills

• Strong understanding of GPU and NVLink technologies.
• Expertise in designing and validating large-scale distributed systems.
• Experience with AI clusters and HPC infrastructure.
• Ability to communicate complex engineering concepts effectively.
• Experience with debugging and resolving issues in cluster design and deployment.

Benefits

• Competitive base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5.
• Eligibility for equity and benefits.

Pay

Base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Details on the schedule will be provided upon hire.

Contact

If you have any questions about this position, please contact [Contact Information].