Senior Software Engineer - Infrastructure Storage

About the role

Lambda is seeking a Senior Software Engineer to join our Infrastructure Storage Team. This role is based in San Francisco, San Jose, or Bellevue, with a designated work-from-home day on Tuesdays.

Responsibilities

• Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.
• Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.
• Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.
• Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.
• Troubleshoot and debug complex issues in a production data center environment.
• Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.

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 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 (e.g., NFS, SMB), Block (e.g., iSCSI, Fibre Channel), Object (e.g., 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.

Qualifications

• 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.

Benefits

At Lambda, we offer:

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

Schedule

The position requires a presence in our San Francisco, San Jose, or Bellevue office location 4 days per week, with a designated work-from-home day on Tuesdays.

Pay

The annual salary range for this position is $266K - $395K, based on market data and other factors. 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.