Understand how to design and maintain scalable cloud environments for GPU computing. Working on building and optimizing our platform infrastructure—automating deployment, managing containerized clusters, and ensuring stability and security across our GPUaaS ecosystem. Experience with Kubernetes, CI/CD, and system monitoring is a plus, along with a passion for solving complex engineering challenges.

Help build and maintain our GPU clusters and data center systems. Managing hardware installation, performance tuning, and diagnostics for high-performance computing environments, ensuring our GPU infrastructure runs efficiently and reliably. Familiarity with NVIDIA architectures, CUDA, NVLink, and HPC networking is highly valued, as is an eye for detail and a commitment to system excellence.

Connect GPUaaS platform with AI companies, research institutions, and enterprises across the region. Identify opportunities, develop partnerships, and help clients understand how flexible compute can accelerate their innovation. A strong understanding of the AI or cloud computing ecosystem, paired with excellent communication and relationship-building skills, will make you an ideal fit.