Member of Technical Staff - Infrastructure

Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference. As AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together. Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing

Experience in infrastructure, cluster engineering, platform engineering, SRE, HPC, or distributed systems. Deep Linux systems experience, including debugging performance, networking, storage, processes, and kernel-level issues. Experience operating Kubernetes, Slurm, Nomad, or similar orchestration and scheduling systems. Strong automation skills using tools such as Terraform, Ansible, Helm, Python, Go, or equivalent. Experience with GPU or accelerator infrastructure, including drivers, firmware