Senior Software Engineer - Storage Control Plane

Lambda; United States; Hybrid; USD 160,000 - 210,000; Full time

Job summary

Lambda, The Superintelligence Cloud, is seeking a Senior Software Engineer to join the Infrastructure Storage Team in a role that blends distributed systems design with high-performance storage software. You will contribute to a vendor-agnostic control plane, enabling fast, scalable access to file, block, and object storage across multiple platforms.

Join a team building the next generation of AI data infrastructure.

Qualifications

• Experience in distributed systems engineering.
• Strong understanding of file, block and object storage protocols.
• Hands-on experience with Kubernetes-driven orchestration and CRD-based workflows.

Responsibilities

• Design and build a vendor-agnostic storage control plane provisioning, scaling and healing.
• Define abstraction layers to hide vendor APIs and telemetry behind a declarative interface.
• Implement reconciliation loops and CRD-based orchestration (Kubernetes controllers and operators).

Skills

Distributed systems

File storage protocols

Block storage protocols

Object storage protocols

Kubernetes controllers

CRD-based orchestration

Tools

Kubernetes

Ceph

MinIO

VAST Data

WEKA

DDN

NetApp

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.

In the world of distributed AI training and inference, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.

High-Performance Distributed Storage Solutions and Protocols

We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.

Dynamic Networking

We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.

Compute Clustering and Virtualization

We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.

AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).

We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing our next-generation storage software. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage control plane that power our AI and machine learning infrastructure.

What You’ll DoDesign

• Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across the platforms our customers actually demand, VAST Data, WEKA, DDN, Pure, NetApp, Ceph, MinIO, and the ones that don't exist yet.
• Define the internal abstraction layer that hides vendor-specific APIs, failure semantics, QoS knobs, and telemetry formats behind one declarative interface, so a new vendor integration is a driver, not a re-architecture.
• Build reconciliation-loop and CRD-based orchestration (Kubernetes controllers, operators, custom schedulers) that manages capacity, tenancy, encryption domai