cto for AI workload orchestration

Coreweave; Polska; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Equity awards

Medical and dental insurance

Pension contribution

Life insurance 4x salary

Critical illness cover

Tuition reimbursement

Job summary

CoreWeave ищет опытного инженера по разработке для руководства архитектурой огромной Kubernetes-native системы. Ваша роль — определить направление и архитектуру, обеспечить эффективное управление AI-нагрузками на крупных GPU-кластерах и выстраивать стандарты надежности на уровне всей платформы.

Требуется опыт разработки распределённых систем, глубокие знания Go и Kubernetes, с умением лидировать технические инициативы без прямого руководства. Конкурентный пакет преимуществ и гибкие условия труда.

Qualifications

• 8+ лет опыта в разработке ПО, с упором на распределённые системы или облачные платформы
• Своеобразное владение Go и создание крупных production-систем
• Глубокое знание Kubernetes: CRD, внутренняя архитектура контроллеров

Responsibilities

• Определение технического видения и архитектуры для частей оркестрационной платформы Kubernetes-native
• Управление принятиями, расписанием и контролем за нагрузками на GPU-кластерах (Kueue, Volcano, Ray)
• Повышение производительности, масштабируемости и справедливости на уровне всей платформы
• Ведение архитектурных рецензий между командами и выравнивание технологических подходов

Skills

Go

Kubernetes

Distributed systems

Scheduling

Leadership

Operations

Education

Bachelor's degree in CS

Tools

Kubernetes API

Job description

Описание:

CoreWeave provides a cloud platform of technology, tools, and infrastructure that enables innovators to build and scale AI applications. Its platform serves AI labs, startups, and global enterprises, combining high-performance infrastructure with technical expertise.

Задачи:

Own the technical vision and architecture for major portions of the Kubernetes-native orchestration platform Define how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as Kueue, Volcano, and Ray Resolve systemic performance, scalability, and fairness issues at scale Lead cross-team architecture reviews and drive technical alignment across infrastructure, CKS, and managed inference teams Establish platform-wide standards for reliability, capacity management, and developer experience Mentor senior engineers across the organisation

Требования:

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 8+ Years of professional software engineering experience, with deep expertise in distributed systems or cloud platforms Strong proficiency in Go and a track record of designing large-scale, long-lived production systems Deep knowledge of Kubernetes internals, scheduling mechanisms, Custom Resource Definitions (CRDs), and controller-based architectures Engineering experience designing, scaling, or evolving orchestration, scheduling, or hardware resource-management platforms Ability to lead high-impact technical initiatives across distributed engineering teams without direct authority Strong operational mindset and experience owning and stabilizing mission-critical production systems at scale Будет плюсом: hands-on experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, or Ray, or similar batch/streaming schedulers; background in AI infrastructure, ML platforms, HPC, or large-scale multi-tenant batch systems; knowledge of fair-share algorithms, pre-emption, quota management, and multi-tenant resource isolation; experience defining and operating SLOs, building capacity models, and improving infrastructure reliability at scale; upstream code contributions to open-source infrastructure or orchestration projects

Условия:

Discretionary bonus, equity awards, and benefits, subject to eligibility Family-level medical and dental insurance Generous pension contribution Life assurance at 4x salary Critical illness cover and employee assistance programme Tuition reimbursement Benefits may vary by location Successful applicants offered employment must complete a basic criminal record check in compliance with GDPR; employment offers are conditional on satisfactory results Access to export-controlled information requires meeting applicable U.S. Government export-control eligibility requirements. CoreWeave may decline to pursue an export licensing process for legitimate business reasons