- Страна
- США
- Зарплата
- 172 000 $ – 209 000 $
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Senior Infrastructure Engineer, Lab
Отличная вакансия в быстрорастущей компании на острие ИИ-технологий. Высокая зарплата, опционы (RSU) и работа с самым современным оборудованием (NVIDIA Blackwell) делают это предложение крайне привлекательным для инженеров инфраструктуры.
Сложность вакансии
Роль требует глубоких знаний специфического «железа» (NVIDIA/AMD GPU), сетевых протоколов (InfiniBand, RoCE) и опыта работы в дата-центрах с высокой плотностью оборудования. Высокая ответственность за дорогостоящую инфраструктуру и участие в дежурствах (on-call) повышают сложность.
Анализ зарплаты
Предложенный диапазон $172k - $209k полностью соответствует рыночным ожиданиям для Senior-позиций в Сан-Франциско, особенно с учетом дополнительных RSU и бонусов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Infrastructure Engineer position at Crusoe. With extensive experience in managing high-density GPU clusters and a deep understanding of NVIDIA and AMD architectures, I am excited about the opportunity to support your research and integration lab. My background in diagnosing hardware faults at the rack level and optimizing InfiniBand and NVLink interconnects aligns perfectly with Crusoe's mission to power ambitious AI workloads.
In my previous roles, I have successfully managed large-scale fleet operations, focusing on firmware management, thermal optimization, and rigorous burn-in testing. I am particularly drawn to Crusoe’s vertically integrated approach and the challenge of working with the latest GB200 and B300 systems. I am confident that my technical expertise in Linux-based diagnostics and my proactive approach to hardware reliability will contribute significantly to your team's success.
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Описание вакансии
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role:
We are seeking a highly skilled and motivated GPU Fleet Operations Engineer to join Crusoe’s Fleet Operations team to support our research and integration lab. This role is focused on the deployment, management, advanced diagnosis, maintenance, and repair of high-performance GPU compute clusters.
The ideal candidate will be hands-on with GPU rack-level troubleshooting and will work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs. This position plays a critical role in supporting Crusoe’s new product integration, research and experimentation efforts.
What You’ll Be Doing:
- Managing a lab environment consisting of the latest GPU systems.
- Working closely with OEM for racks, CDUs, and data center infrastructure components
- Perform diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems.
- Support GPU platforms including NVIDIA A100, H200, GB200, B200, B300 and AMD 350X / 355X.
- Execute component-level diagnosis and remediation for failed or degraded hardware.
- Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware.
- Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance.
- Perform firmware and BIOS upgrades.
- Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems.
- For lab operations, develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows.
- Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and document remediations.
- Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team.
What You’ll Bring to the Team:
- Experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments.
- Deep understanding of GPU architectures and hands-on experience with GPU-based systems.
- Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms.
- Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE).
- Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing.
- Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities.
- Experience working with enterprise server hardware, power delivery, and cooling systems.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently in a fast-paced data center or operations environment.
Nice to Have:
- Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience.
- Experience working directly with hardware vendors and escalations.
- Background in large-scale GPU fleet operations or hyperscale data center environments.
Benefits:
- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300 per pay period
Compensation Range:
Compensation will be paid in the range of $172,000 - $209,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe Energy is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
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Навыки
- Linux
- Firmware
- Hardware Troubleshooting
- CentOS
- Data Center Operations
- BIOS
- Ubuntu
- RDMA
- Infiniband
- NVIDIA GPU
- RoCE
- NVLink
- Rocky Linux
- AMD GPU
- NVIDIA DCGM
Возможные вопросы на собеседовании
Проверка практического опыта работы с инструментарием NVIDIA для мониторинга и диагностики.
Опишите ваш опыт использования NVIDIA DCGM для выявления проблем с производительностью или стабильностью GPU. Какие метрики вы считаете критическими?
Оценка навыков траблшутинга сложных сетевых соединений в ИИ-кластерах.
Как бы вы подошли к диагностике деградации пропускной способности в сети InfiniBand между несколькими узлами в стойке?
Проверка знаний в области систем охлаждения и питания, критичных для GPU-ферм.
С какими наиболее сложными проблемами в работе CDU (блоков распределения охлаждения) или систем питания стоек вы сталкивались и как их решали?
Оценка понимания процесса валидации оборудования после ремонта.
Расскажите о вашем процессе проведения burn-in и NCCL тестов. Какие результаты тестов заставили бы вас вернуть оборудование на доработку?
Проверка умения работать в условиях неопределенности с новейшим оборудованием.
Как вы подходите к разработке SOP (стандартных операционных процедур) для совершенно новых GPU-платформ, по которым еще нет обширной документации?
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- Страна
- США
- Зарплата
- 172 000 $ – 209 000 $