The Director of Legal Operations at Lightning AI will serve as the operational backbone for the legal team, owning strategy, metrics, and process improvements while partnering cross‑functionally. This senior, hybrid role requires 10+ years of legal ops experience in a fast‑growth startup environment.
Lightning AI is seeking a Research Engineer to optimize training and inference workloads on compute accelerators using the Lightning Thunder compiler and PyTorch Lightning ecosystem. This hybrid role sits at the intersection of deep learning research, compiler development, and large-scale system optimization across global offices.
The Director of Legal Operations will serve as the operational backbone of Lightning AI’s Legal team, owning systems, tools, metrics, and reporting while partnering across finance, engineering, and people functions. This senior, cross-functional role requires 10+ years of legal ops experience in a high-growth startup environment.
Join Lightning AI as a Platform Support Engineer to debug ML infrastructure, Kubernetes, and GPU workloads, collaborating with ML teams.
The Director of Legal Operations at Lightning AI will own the legal team's operational strategy, manage metrics and reporting, implement legal technology, and partner cross‑functionally to scale legal processes. This hybrid role is based in New York or San Francisco with a base salary of $180k–$220k.
The role seeks an Infrastructure Engineer to manage GPU and compute infrastructure, focusing on image management, system diagnostics, validation, and automation for large-scale bare‑metal and GPU‑enabled systems at Lightning AI.
Infrastructure Operations Engineer at Lightning AI will design, build, and operate large-scale AI infrastructure, handling Linux, AWS, Kubernetes, and automation. The role is hybrid/remote within the U.S. and requires 8+ years of relevant experience.
Infrastructure Engineer (Storage) at Lightning AI focuses on building and operating storage systems for large-scale AI/ML training and inference, working on distributed storage, automation, and performance optimization across bare-metal infrastructure.
The role seeks an Infrastructure Engineer to design and operate observability systems for Lightning AI's large-scale GPU infrastructure, productizing metrics, logs, traces, and alerts. The position offers hybrid work from US hubs or fully remote.
The Senior Product Manager, Inference at Lightning AI will own the end‑to‑end inference product vision, pricing, and go‑to‑market strategy. They will define the roadmap, design pricing models, and drive developer adoption, reporting to the VP of Product in a hybrid NYC or SF office.
Infrastructure Engineer (GPU & Compute) at Lightning AI will own image management, system diagnostics, and validation for large-scale GPU-enabled compute infrastructure, building automation for provisioning and validation to support AI/ML workloads. The role offers hybrid or remote work within the U.S.
