Job Summary:
CoreWeave is The Essential Cloud for AI™, delivering technology and tools for innovators in AI. The Senior Software Engineer II, Applied Training will contribute to the development of a Kubernetes-native research cluster platform and work closely with customers to enhance their AI research infrastructure.
Responsibilities:
• 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.
Qualifications:
Required:
• 5-8+ 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.
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.