Lambda
Senior Software Engineer - Infrastructure Storage
San Francisco Office (Fremont St) · Senior
Sponsorship not specifiedDetected 6 days ago
GoC++SwiftDistributed SystemsAlgorithmsCloud PlatformsDockerKubernetesCI/CDLinuxMachine LearningResearch
About the role
- 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.
- AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays.
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.
- Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.
- We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.
- 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
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.
- 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.
Nice to have
- 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.
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- We offer generous cash & equity compensation
- 401k Plan with 2% company match (USA employees)
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.