Senior Software Engineer - Infrastructure Storage

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.

The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.

Our expertise lies at the intersection of:

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  Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.

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  Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.

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  Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.

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  Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.

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  Troubleshoot and debug complex issues in a production data center environment.

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  Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.

• 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 and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.

• Strong programming skills in languages such as C, C++, Go, or Python.

• Deep understanding of storage protocols, including:

  • File: NFS, SMB, Lustre

  • Block: iSCSI, Fibre Channel

  • Object: S3, Swift

• Experience with Linux kernel internals and system-level programming.

• Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.

• Familiarity with CI/CD and QA practices for distributed systems development environments.

• Experience with AI/ML workloads and the unique storage challenges they present.

• Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).

• Experience with performance tuning and optimization of storage systems.

• Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.

Based on market data and other factors, the annual salary range for this position is. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

• Founded in 2012, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• 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

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.