Senior Software Engineer - Infrastructure Storage

Lambda Inc.

Job Overview

Location

San Francisco Office (Fremont St)

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and maintain high-performance storage software for next-generation on-premise AI storage solutions, ensuring scalability, reliability, and performance across distributed systems.
• Implement and optimize storage protocol APIs for file (NFS, SMB, Lustre), block (iSCSI, Fibre Channel), and object (S3, Swift) access to support diverse AI workloads.
• Build distributed systems that orchestrate storage resources across redundant arrays and heterogeneous storage hardware, including NVMe and GPU-direct storage.
• Collaborate closely with hardware and system architects to integrate software with storage hardware, ensuring seamless interoperability and maximum throughput for AI training and inference clusters.
• Troubleshoot and resolve complex production issues in data center environments, focusing on storage latency, data consistency, and system resilience.
• Contribute to the full software development lifecycle, from requirements gathering and system design to deployment, monitoring, and maintenance of storage services.
• Develop software that enables petabyte-scale data access at speeds required by clustered GPUs, ensuring low-latency, high-throughput data pipelines for AI researchers and enterprises.
• Work within a team responsible for the foundational infrastructure of Lambda’s AI cloud, where storage performance directly impacts the efficiency of distributed AI training and inference.
• Participate in code reviews, architectural discussions, and on-call rotations to ensure system stability and operational excellence in a 24/7 production environment.
• Apply deep knowledge of Linux kernel internals and system-level programming to enhance storage subsystem performance and reliability.
• Integrate storage solutions with containerized environments using Docker and Kubernetes, ensuring production-grade deployment and orchestration of storage services.
• Adhere to CI/CD and QA practices tailored for distributed systems, ensuring robust testing and automated deployment pipelines for storage software.
• Maintain and evolve storage infrastructure to support evolving AI workloads, including multi-tenant security, intelligent routing, and dynamic resource allocation.
• Ensure storage systems are aligned with Lambda’s mission to make compute as ubiquitous as electricity by enabling fast, reliable, and accessible data for every GPU in the cluster.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science or a related field
• 5+ years of experience in software development for storage systems
• Proven experience with distributed systems programming, including load balancing, data durability, consensus algorithms, fault tolerance, and data consistency
• Strong programming skills in C, C++, Go, or Python
• Deep understanding of storage protocols: NFS, SMB, Lustre (file); iSCSI, Fibre Channel (block); S3, Swift (object)
• Experience with Linux kernel internals and system-level programming

🏖️ Benefits

• Health, dental, and vision coverage for you and your dependents
• Wellness and commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible paid time off plan that we all actually use

Skills & Technologies

Python

Swift

Docker

Kubernetes

Linux

DevOps

Senior

Onsite

Degree Required

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Lambda Inc.

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About Lambda Inc.

Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.

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