Senior Software Engineer - Infrastructure Storage

Lambda·San Francisco Office (Fremont St)·16 июля

Senior Software Engineer - Infrastructure Storage

🏢 ОфисSeniorПолная занятость

Зарплата не указана

Вилки нет, про деньги придётся договариваться с нуля.

Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

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:

Чем предстоит заниматься

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

Наши требования

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

Salary Range Information

Мы предлагаем

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

Дополнительно

High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs

Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware

Compute Clustering and Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs

AI training and inference relies on petabytes of data hosted on large, high-performance storage arrays. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose)

We're looking for an experienced Senior Software Engineer to join our storage team. You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions. This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols. You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure

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

Lambda

San Francisco Office (Fremont St)

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано16 июля

Все вакансии компании

AI-помощник

под эту вакансию

Войди, чтобы AI оценил твоё соответствие вакансии и написал сопроводительное письмо

Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).