Lambda

Principal Software Engineer leading the strategy, architecture, and delivery of Lambda’s large-scale networking software for AI cloud infrastructure. The role combines hands-on systems engineering, customer leadership, technical mentorship, and operational ownership.

Build and operate reliable large-scale AI and HPC infrastructure at Lambda, automating cluster deployment, lifecycle management, monitoring, and remediation. You’ll lead incident response and troubleshoot GPU, networking, fabric, power, and thermal issues across the company’s AI cloud.

Build the managed Kubernetes platform powering Lambda’s large-scale AI training and inference workloads. You’ll develop control-plane services, GPU-aware orchestration, cluster automation, and inference infrastructure across Kubernetes, distributed systems, and NVIDIA’s ecosystem.

Build and operate large-scale managed Kubernetes infrastructure for AI/ML workloads, combining production reliability engineering with hands-on platform automation. You’ll design controllers, improve cluster lifecycle management, respond to incidents, and support customers in a hybrid office environment.

Lead the design of Lambda’s next-generation GPU and CPU compute control plane, spanning distributed systems, hardware enablement, and cloud infrastructure at massive scale. You’ll provide hands-on technical leadership for reliable host lifecycle management and heterogeneous AI compute platforms.

Build the next-generation storage control plane powering Lambda’s high-performance AI clusters. You’ll design distributed, multi-tenant storage orchestration across major vendors and petabyte-scale infrastructure.

Own the reliability and performance of Lambda’s large-scale storage fleet while building automation that prevents recurring incidents. This hands-on infrastructure role combines storage operations, observability, self-healing systems, Kubernetes, and low-level networking diagnostics.

Build and improve the internal platforms and reliability automation that power Lambda’s business. You’ll work across cloud infrastructure, distributed systems, configuration management, and incident prevention in a highly collaborative environment.