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Runtime Engineer
SambaNova — один из лидеров в области AI-железа, что делает позицию крайне перспективной. Отличный пакет льгот, работа с передовыми технологиями и возможность влиять на весь стек (от чипа до модели) обеспечивают высокий балл.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний системного программирования (C/C++, ядро ОС, драйверы) и опыта работы с высоконагруженными распределенными системами. Требуется понимание специфики работы AI-ускорителей и сетевых протоколов (RDMA, RoCE).
Анализ зарплаты
Для позиции системного инженера в Пало-Альто с опытом 3-5 лет рыночный диапазон составляет $160,000–$210,000. Учитывая, что SambaNova — это высокотехнологичный стартап на стадии роста, совокупный доход (включая опционы) может значительно превышать средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Runtime Engineer position at SambaNova Systems. With a solid background in C/C++ and Python, and extensive experience in developing system-level software, I am eager to contribute to the optimization of the SambaNova stack. My experience with distributed systems and high-performance user-space libraries aligns perfectly with your team's mission to maximize hardware utilization for AI and ML applications.
In my previous roles, I have focused on building scalable software execution environments and interacting closely with hardware interfaces. I am particularly drawn to SambaNova's full-stack approach, from the SN40L chip to state-of-the-art models. I am confident that my technical skills in kernel drivers and concurrent systems, combined with my passion for high-performance computing, will allow me to make immediate contributions to the Runtime team and the success of the SambaNova Suite.
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Описание вакансии
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
The Opportunity
The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape.
Runtime is responsible for the lowest levels of the SambaNova stack, efficiently interacting with the hardware to provide the best application performance and maximize hardware utilization. We handle all aspects of software infrastructure to enable higher level applications, including:
- High performance user libraries
- Operating System interface/integration
- Data model manipulation for scaling
- Networking/communication intra and inter node
- Orchestration of partitioned workloads
- Error monitoring and tools for system management and observability
We build a high performance, distributed and scalable software execution environment for SambaNova DataScale & Cloud platforms to support data-flow applications such as ML training and inference and HPC applications.
We are searching for a software engineer who will work on all parts of the runtime stacks, supporting AI, ML, and scientific applications in high-performance distributed systems. You will participate in building, testing and deploying next-generation high-performance compute systems for AI applications at scale. We expect the candidate to have a strong background in programming, building and testing software in distributed systems, performance tuning of large scale systems, and good teamwork and planning skills.
Role Responsibilities
- Work on design and implementation of new and enhanced features of the runtime stack to support high performance and scalable ML inference and training applications
- System software (drivers and kernel) support for the next generation silicon.
- Design user-space libraries for high performance and high utilization of HW resources.
- User-facing tools (analysis, job and HW management, profiling, debugging, etc) for Datascale systems.
- Collaborate with other teams including Hardware, ML Application, Compiler, DevOps.
Basic Qualifications
- Bachelor’s in Computer Science, Computer Engineering, or equivalent and with 3-5 years of industry experience
- Proficiency in C/C++ and Python
- Experience with user space libraries, operating systems, and kernel drivers
- Experience working with highly concurrent and distributed systems, with a focus on performance and scalability
Preferred Qualifications
- Experience with different types of fabrics, such as PCIe, Infiniband, and RoCE
- Experience with fast networking stacks, such as RDMA
- Good communication skills and enthusiasm to help colleagues
Submission GuidelinesPlease note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO PolicySambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
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Навыки
- C++
- Python
- Distributed Systems
- Operating Systems
- Kernel Drivers
- PCIe
- Infiniband
- RDMA
- RoCE
- High Performance Computing
- Scalability
Возможные вопросы на собеседовании
Проверка понимания основ системного программирования и управления ресурсами.
Как бы вы реализовали эффективную передачу данных между пользовательским пространством и ядром для минимизации задержек в AI-приложениях?
Оценка опыта работы с распределенными системами, что критично для SambaNova DataScale.
С какими основными проблемами синхронизации вы сталкивались в высоконагруженных распределенных системах и как их решали?
Проверка знаний сетевых технологий, упомянутых в предпочтительных квалификациях.
Объясните преимущества использования RDMA и RoCE по сравнению со стандартным стеком TCP/IP для обучения больших языковых моделей.
Оценка навыков оптимизации производительности.
Опишите ваш процесс профилирования и поиска узких мест в производительности системного ПО. Какие инструменты вы используете?
Проверка умения работать на стыке софта и железа.
Как архитектура чипа (например, наличие специфических блоков вычислений) влияет на дизайн библиотек времени выполнения (runtime libraries)?
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