Staff Software Engineer - Compute

About the role

The Staff Software Engineer on the Compute pillar will define the technical vision for Lambda’s next‑generation GPU and CPU host‑instance lifecycle and compute control plane, bridging high‑level distributed systems and low‑level semiconductor architecture to deliver a resilient, massive‑scale cloud provisioning platform. The role provides hands‑on technical leadership, mentors senior engineers, and drives cross‑functional initiatives to meet enterprise‑grade SLAs for top AI researchers.

About the company

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers—from AI researchers to enterprises and hyperscalers—with the mission to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Founded in 2012, the fast‑growing company has 500+ employees and backing from notable investors such as NVIDIA, ARK Invest and In‑Q‑Tel, and it values open research and generous cash‑and‑equity compensation.

Requirements

• 10+ years experience building compute control‑plane distributed systems for deploying and lifecycle‑managing heterogeneous compute platforms in data centers, with resilience at scale
• Deep expertise in durable execution models and distributed systems used in cloud‑service provisioning
• Basic knowledge of software‑defined networking fundamentals for secure, multi‑tenant distributed systems
• Proven track record leading large‑scale semiconductor hardware enablement and deployment initiatives
• Proven experience deploying brand‑new data centers into a global compute platform
• Proficiency in one or more of the following languages: C/C++, Rust, Python, Go
• Nice to have: Knowledge of Nvidia’s AI Factory components such as GPU hosts, CPU hosts, SuperNICs (ConnectX and Bluefield DPUs) and switches
• Nice to have: Familiarity with Nvidia AI Factory software like DOCA, DOCA SNAP, CUDA
• Nice to have: Understanding of Linux kernel internals, device drivers, virtualization technologies (KVM, QEMU) and kernel‑bypass technologies (SR‑IOV, DPDK, SPDK)
• Nice to have: Experience with Cloud Service Provider Kubernetes offerings
• Nice to have: Knowledge of high‑performance networking (InfiniBand, RoCE) and storage protocols (NVMe‑oF)