Pioneer reliability standards for a GPU-accelerated AI platform. You’ll define SLIs and SLOs, create APIs for data exposure, and collaborate with teams to ensure performance across hybrid and edge environments, optimizing system reliability.

Advance your career by driving a pivotal shift from private cloud to full-stack AI infrastructure. Lead marketing initiatives across enterprise and Neocloud businesses, enhancing brand visibility and ecosystem engagement to impact market perception.

Optimize high-performance storage for GPU workloads. Collaborate on Kubernetes, NFS, and automation, ensuring reliable, scalable, and integrated storage solutions across hybrid and air-gapped environments while leading performance tuning efforts.

Lead the sales engineering team to secure complex AI infrastructure deals. Drive technical strategy, oversee pre-sales processes, and ensure delivery of high-quality solutions while influencing customer success in multi-year contracts.

Deliver innovative Infrastructure Services for our GPU-as-a-Service platform by designing and implementing APIs, workflows, and monitoring systems, ensuring reliable provisioning and management of cutting-edge hardware.