Hiring: Solutions Architect – AI & HPC GPU Infrastructure Work Setting: Fully Remote - United State Engagement Type: Contract Contract Duration: 6 Months with possibility of extension We are seeking experienced Solutions Architects to bridge the gap between solution design and deployment of large-scale AI, High-Performance Computing (HPC), and GPU infrastructure. In this role, you will help bring Generative AI (GenAI), AI, and Machine Learning (ML) hardware and software solutions into production. You will work closely with strategic customers, cloud partners, and internal engineering and business teams to design, integrate, and operationalize next-generation GPU infrastructure.

Required Qualifications

Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a related engineering discipline, or equivalent practical experience. 7+ years in Solutions Engineering, Sales Engineering, or Cloud Engineering. Experience designing and deploying large-scale clusters and AI/HPC data center infrastructure. Knowledge of GPU hardware, Ethernet/InfiniBand networking, and storage. Familiarity with NCCL, DCGM, UFM, SLURM, Kubernetes, or related technologies. Strong customer engagement, technical presentation, and problem-solving skills.

Preferred Qualifications

Hands-on familiarity with GPU hardware, Ethernet/InfiniBand networking components, and storage in large-scale AI/HPC cluster environments. Knowledge of GPU infrastructure technologies and tools such as NCCL, DCGM, UFM, NVIDIA Mission Control, and Base Command Manager. Experience with large-scale GPU systems, performance testing, and AI benchmarking. Practical experience with cluster administration and orchestration technologies such as SLURM and Kubernetes. Background Screening: Candidates must have a valid U.S. passport, original U.S. birth certificate, or Green Card.