Senior Solution Engineer

Job Summary

As a Senior Solution Engineer - GPU & AI Infrastructure, the full-time position will focus on serving as the primary technical architect for large-scale AI and high-performance computing customer initiatives, partnering with the Sales team during both pre-sales and post-sales phases while working remotely.

Key responsibilities

• Author comprehensive High-Level Design (HLD) and Low-Level Design (LLD) documentation for enterprise-scale GPU supercomputing clusters based on customer requirements
• Act as the primary technical partner to the commercial team, driving high-value AI infrastructure opportunities through structured engagement frameworks
• Architect and oversee Proof-of-Concept (PoC) deployments to validate real-world performance for customer workloads prior to full commitment

Required qualifications

• 5+ years in a Solution Architecture, Systems Engineering, or Technical Pre/Post-Sales role focused on high-performance cloud, HPC, or AI infrastructure
• Bachelor's degree in Computer Science, Electrical Engineering, Systems Engineering, or equivalent practical experience
• Deep hands-on knowledge of NVIDIA GPU architecture, including HGX/DGX platforms and NVLink/NVSwitch fabrics
• Expert-level knowledge of cluster fabric topologies across InfiniBand and RoCE/RoCEv2
• Proficiency in deploying and optimizing GPU workloads on Kubernetes and Bare-Metal environments