Senior AI Infra Engineer: Kubernetes & Distributed Systems

CoreWeave; Sunnyvale (CA); Presencial; USD 182.000 - 242.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

401(k) with generous employer match

Tuition Reimbursement

Paid Parental Leave

Catered lunch and casual environment

Descripción de la vacante

CoreWeave is Hiring for a senior role in Sunnyvale, CA, focusing on Applied Training and a Kubernetes-native research cluster platform. You will design, build, and own infrastructure that accelerates AI research and training at scale, collaborating closely with customers and internal teams.

The position emphasizes extensive experience with distributed systems, Kubernetes, and scalable workflows, with a base salary range and comprehensive benefits for US-based full-time employees.

Formación

• 8–12+ years building distributed systems, ML infrastructure, or developer platforms
• Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale
• Strong communicator who can translate researcher feedback into system designs

Responsabilidades

• Contribute to the roadmap for Applied Training — unlock new workloads
• Work with customers and CoreWeave teams building cloud-native primitives
• Design and build a complete research cluster experience — CLI, config schema, Kubernetes operators, daemons
• Own the Python SDK for sandbox infrastructure enabling RL training runs at scale
• Write documentation for OSS training frameworks on CoreWeave
• Collaborate with infrastructure teams and customers to bring researcher needs into product

Conocimientos

Distributed systems

Kubernetes

Customer-facing comms

Research platforms

Herramientas

Kubernetes

Slurm

Ray

Descripción del empleo

CoreWeave is Hiring for a senior role in Sunnyvale, CA, focusing on Applied Training and a Kubernetes-native research cluster platform. You will design, build, and own infrastructure that accelerates AI research and training at scale, collaborating closely with customers and internal teams.

The position emphasizes extensive experience with distributed systems, Kubernetes, and scalable workflows, with a base salary range and comprehensive benefits for US-based full-time employees.