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coreweave
Страна
США
Зарплата
165 000 $ – 242 000 $
+500% приглашений

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SeniorГибридПолная занятость

Staff Software Engineer, Applied Training

Оценка ИИ

CoreWeave — один из самых быстрорастущих ИИ-единорогов, недавно вышедший на IPO. Позиция предлагает работу с передовыми технологиями (тысячи GPU), высокую компенсацию и возможность напрямую влиять на развитие ИИ-индустрии.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует исключительной экспертизы в Kubernetes (написание операторов и контроллеров) и глубокого понимания специфики обучения ИИ-моделей. Кандидат должен обладать 8-12 годами опыта и уметь проектировать сложные распределенные системы с нуля.

Анализ зарплаты

Медиана210 000 $
Рынок180 000 $ – 260 000 $
Оценка ИИ

Предлагаемый диапазон $165k–$242k полностью соответствует рыночным стандартам для Staff-инженеров в крупных технологических хабах США (Нью-Йорк, Сан-Франциско). Верхняя граница выше медианы, что отражает высокую востребованность специалистов на стыке ML и инфраструктуры.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Software Engineer, Applied Training position at CoreWeave. With over a decade of experience in building distributed systems and a deep focus on Kubernetes-native infrastructure, I am particularly drawn to your mission of abstracting away the operational complexities that hinder AI researchers. My background in developing custom Kubernetes operators and workload orchestration systems aligns perfectly with your goal of providing frontier-lab-grade infrastructure to every CoreWeave customer.

In my previous roles, I have specialized in bridging the gap between complex infrastructure and developer productivity. I have a proven track record of shipping production-grade ML platforms that handle large-scale training jobs, and I am intimately familiar with the challenges of code distribution and checkpointing in distributed environments. I am excited by the prospect of joining the Applied Training team to build the Python SDKs and Kubernetes-native tools that will empower the next generation of AI innovators.

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Откликнитесь в coreweave уже сейчас

Присоединяйтесь к CoreWeave, чтобы создавать инфраструктуру будущего для крупнейших ИИ-лабораторий мира!

Описание вакансии

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations.

This is the problem. We're building the Applied Training team to fix it.

You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs.

About the role:

  • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc.
  • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own.
  • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure.
  • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed.
  • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.

Who You Are:

  • 8-12+ years building distributed systems, ML infrastructure, or developer platforms.
  • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration.
  • Excited about rigorous engineering, but enabled by AI based workflows.
  • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter.
  • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale.
  • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems.
  • Good communicator. Can work with customers, translate researcher complaints into system designs.

Preferred:

  • Experience building internal ML platforms or research clusters at a company doing large-scale training.
  • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code.
  • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short.
  • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms.
  • OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar.

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act- California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.  To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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Навыки

  • Python
  • PyTorch
  • Kubernetes
  • Docker
  • Distributed Systems
  • Ray
  • Go
  • Kubernetes Operators
  • ML Infrastructure
  • Slurm
  • Kata Containers
  • gVisor

Возможные вопросы на собеседовании

Проверка глубоких знаний Kubernetes, необходимых для создания платформы.

Опишите ваш опыт разработки кастомных Kubernetes-контроллеров и операторов: с какими самыми сложными проблемами согласования состояний вы сталкивались?

Важно понимать, как кандидат решает специфические проблемы обучения моделей.

Как бы вы спроектировали систему распределения кода и данных для кластера из тысяч GPU, чтобы минимизировать время простоя перед началом обучения?

Роль подразумевает замену старых инструментов новыми решениями.

В чем, по вашему мнению, основные недостатки Slurm или Ray при работе в облачных средах, и как бы вы их исправили в Kubernetes-native системе?

Проверка опыта работы с изоляцией контейнеров для запуска недоверенного кода (агентов).

Какие технологии изоляции (например, gVisor или Kata Containers) вы бы выбрали для запуска тысяч агентских симуляций и почему?

Оценка способности работать с клиентами и переводить их боли в технические требования.

Расскажите о случае, когда вам пришлось переводить абстрактные жалобы исследователей ИИ в конкретные архитектурные решения для инфраструктуры.

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coreweave
Страна
США
Зарплата
165 000 $ – 242 000 $