Lead GPU Sandbox & Virtualization Engineer

SF Tensor is seeking a highly capable systems engineer to own a serverless GPU container service spanning NVIDIA, AMD, TPU and Trainium. You will extend sandboxing across vendors, implement GPU virtualization, and ensure isolation fidelity for live workloads. Candidates should have a strong background in Linux kernel, containers, and hypervisors, plus experience with GPU systems, preemption handling, and cross-node sandboxes. Relocation to San Francisco is offered.