Lambda · 1 month ago
Senior Software Engineer - Infrastructure Storage
San Francisco, CA
Full-time
Onsite
Senior Level
$296K/yr - $445K/yr
5+ years expLambda is a leader in AI cloud infrastructure, aiming to make compute as ubiquitous as electricity. They are seeking a Senior Software Engineer to develop and implement storage software for next-generation on-premise storage solutions, focusing on performance, scalability, and reliability in the context of AI and machine learning infrastructure.
Artificial Intelligence (AI)Cloud ComputingGPUMachine Learning
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-accelerated 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
Qualification
Required
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
Preferred
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
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
Company
Lambda
Lambda is a cloud-based platform that provides high-performance GPU hardware and cloud infrastructure for AI model training and inference.
501-1000 employees
H1B Sponsorship
Lambda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (1)
2023 (3)
2022 (2)
2021 (2)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$3.19BKey Investors
TWG GlobalJP MorganMacquarie Group
2025-11-18Series E· $1.5B
2025-08-19Debt Financing· $275M
2025-02-19Series D· $480M
Leadership Team
Stephen Balaban
Co-founder, CEO
Michael Balaban
Co-Founder / CTO
Recent News
2025-12-25
2025-12-22
2025-12-20
Company data provided by crunchbase