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Crusoe
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161 700 $ – 196 000 $
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SeniorВ офисеПолная занятость

Senior Technical Program Manager

Оценка ИИ

Высокая оценка обусловлена уникальностью продукта, конкурентной заработной платой, наличием опционов (RSU) и возможностью работать в одной из самых перспективных ниш — ИИ-инфраструктуре. Компания предлагает отличный пакет льгот.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических знаний в области GPU-инфраструктуры (прошивки, драйверы, CUDA) и навыков управления сложными программами в условиях неопределенности. Ожидается опыт работы в гиперскейлерах или специализированных ИИ-облаках.

Анализ зарплаты

Медиана185 000 $
Рынок155 000 $ – 215 000 $
Оценка ИИ

Предлагаемый диапазон $161,700 - $196,000 полностью соответствует рыночным стандартам для Senior TPM в Сан-Франциско, особенно в секторе специализированной облачной инфраструктуры. С учетом бонусов и RSU совокупный доход может значительно превышать медиану.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Technical Program Manager position at Crusoe. With extensive experience in the AI infrastructure space and a deep understanding of the full stack—from GPU firmware and CUDA environments to large-scale cluster commissioning—I am eager to help Crusoe accelerate its mission of building vertically integrated AI cloud services. My background at high-growth infrastructure providers has equipped me with the technical depth and execution rigor necessary to manage complex NPI programs and drive GPU cluster delivery from initial setup to GA.

In my previous roles, I have successfully led cross-functional teams through the complexities of hardware-software dependencies, ensuring that compute, networking, and storage work in harmony. I pride myself on building lightweight, effective execution frameworks that engineering teams actually trust and adopt. I am particularly drawn to Crusoe’s energy-first approach and the challenge of solving the power bottleneck for the next generation of AI workloads. I look forward to the possibility of bringing my technical expertise and program management discipline to your Cloud Product team.

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Присоединяйтесь к Crusoe, чтобы строить будущее ИИ-инфраструктуры на стыке энергетики и передовых вычислений!

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:

Crusoe's Cloud Product team is hiring a Senior Technical Program Manager to own and drive technical programs across our AI IaaS platform, aligning Product and Engineering on delivery. This role requires a hands-on individual contributor with genuine technical depth in AI infrastructure, comfortable operating in ambiguous, fast-moving environments and capable of building execution structure where little exists.

Our vision is the easiest-to-use AI purpose-built cloud. We offer IaaS products, letting AI/ML engineers focus on AI model frameworks (PyTorch, Ray) and compute stacks (CUDA, ROCm) while Crusoe manages the underlying complexity. Our platform standardizes firmware/OS bundles and automates component orchestration for consistent, scalable infrastructure. We also offer AI Managed Services, like SLA-bounded Managed Inference. The TPM connects engineering, product, procurement, and data center operations to deliver a reliable platform where customers run AI workloads without managing low-level system details.

At this level, TPM engagement focuses on defined technical programs and workstreams within larger cross-functional initiatives: GPU cluster commissioning, feature delivery within IaaS products, NPI workstream ownership, and coordination across hardware and software dependencies.

The ideal candidate is engineer-rooted with hands-on technical depth in compute infrastructure, firmware, or hardware platform delivery. You will own defined programs end-to-end, build lightweight execution frameworks, govern dependencies within your scope, and grow into broader program ownership over time.

What You'll Be Working On:

  • Workstream & Program Ownership: Own delivery of defined feature sets or commissioning workstreams within larger IaaS and NPI programs. Drive execution from kickoff through GA or handoff milestone.
  • Hands-On Execution: Personally manage technically complex programs within your scope. Identify blockers early, intervene to correct course, and escalate cross-organizational issues promptly when they exceed your authority.
  • Commissioning Leadership: Own the Cloud TPM side of GPU cluster commissioning for assigned deployments — define RFN acceptance criteria, commissioning readiness requirements, and Go/No-Go criteria. Lead Phase 4.0 commissioning activities including network fabric, storage provisioning, GPU validation, burn-in, and monitoring integration.
  • Risk & Dependency Governance: Proactively identify technical and organizational risks within your programs. Maintain dependency logs, surface blockers before scheduled reviews, and drive issues to resolution.
  • Execution Frameworks: Build lightweight, fit-for-purpose execution structures for your programs — standups, dashboards, status updates, and risk logs. Establish predictability within your workstream.
  • External Partner Coordination: Coordinate with external dependencies such as hardware partners, ODMs, or data center operations teams on assigned programs. Support certification, validation, and infrastructure stack alignment under guidance of senior TPMs.

What You'll Bring to the Team:

  • AI Infrastructure Technical Depth: Genuine hands-on knowledge of the AI infrastructure stack — GPU firmware, drivers, BIOS/BMC, CUDA or ROCm stacks, OS configurations, and the tooling required to bring a cluster to production. Ability to engage credibly with firmware, hardware, networking, and compute engineers without a translator.
  • Commissioning Fluency: Familiarity with GPU cluster commissioning — understanding of the distinct workstreams (Compute, SDN, ZTP, Firmware, Network, Storage), commissioning gate definitions, and what it means to take ownership of a cluster from RFN through GA.
  • Experience at Hyperscalers or Neoclouds: 5–10 years of experience as a Technical Program Manager, with meaningful tenure at a hyperscaler (AWS, Azure, Google, Meta, OCI) or neocloud (CoreWeave, Lambda Labs) in a hardware, firmware, compute platform, or IaaS delivery role. Must have been on the build side — not customer-facing or enterprise IT delivery.
  • AI Tool Integration: Active daily use of AI tools to enhance program execution, tracking, and communication.
  • Execution Rigor: Demonstrated ability to establish program predictability in ambiguous environments. Builds lightweight structure that engineering teams trust and adopt.
  • Communication: Clear written and verbal communication for delivering program status, risks, and dependencies to engineering leads and product managers.

Bonus Points

  • Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field
  • Hands-on engineering background — hardware engineering, systems engineering, silicon validation, embedded software, or firmware
  • Experience with GPU NPI programs, firmware deployment across compute fleets, or datacenter commissioning
  • Experience at a hyper-growth company

Benefits:

  • Competitive compensation
  • Restricted Stock Units
  • Paid time off & paid holidays
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Competitive compensation and equity packages
  • Comprehensive health & wellness programs
  • Paid time off, paid holidays & leave of absence programs
  • Retirement & pension plans
  • Life & income protection benefits
  • Learning & development
  • Mental health & wellbeing resources
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Volunteer time off
  • Additional perks & programs specific to location

Compensation Range

Compensation will be paid in the range of up to $161,700 - $196,000 + Bonus. 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 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

  • Python
  • Linux
  • Firmware
  • Networking
  • CUDA
  • IaaS
  • Storage
  • BIOS
  • GPU
  • NPI
  • BMC
  • ROCm

Возможные вопросы на собеседовании

Проверка практического опыта ввода в эксплуатацию крупных вычислительных мощностей.

Опишите ваш опыт руководства процессом ввода в эксплуатацию (commissioning) GPU-кластеров. С какими основными техническими блокировками вы сталкивались на этапе Phase 4.0?

Оценка технической глубины кандидата и понимания стека ИИ.

Как вы подходите к управлению зависимостями между обновлениями прошивок (firmware), версиями драйверов и стабильностью работы CUDA/ROCm в масштабе всего флота?

Проверка способности работать в быстро меняющейся среде стартапа.

Приведите пример, когда вам пришлось создавать структуру управления программой с нуля в условиях высокой неопределенности. Какие инструменты вы использовали?

Оценка навыков взаимодействия с внешними партнерами.

Как вы выстраиваете работу с внешними поставщиками оборудования (ODM) для обеспечения соблюдения графиков NPI (New Product Introduction)?

Проверка использования современных инструментов для повышения эффективности.

Как именно вы интегрируете инструменты ИИ в свою ежедневную работу для управления рисками и коммуникациями в технических программах?

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Crusoe
Страна
США
Зарплата
161 700 $ – 196 000 $