Senior Software Engineer II, Applied Training

What You’ll Do

A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month is spent on cluster setup instead of research. We build deployment scripts, fight container images, and wire up job orchestration. They came to train models, but are 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 to 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 is just nice to have. Work directly and closely with customers and other teams inside CoreWeave 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 problems researchers actually hit: code distribution, checkpoint‑triggered evaluation, cross‑cluster scheduling, programmatic job control. Replace the patchwork of scripts customers build on their own.
• For sandbox infrastructure: own the Python SDK and work in a 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

• 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 to Kubernetes or cluster administration.
• Excited about rigorous engineering, but enabled by AI‑based workflows.
• 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.
• Have shipped infrastructure that others 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.

What We Offer

The range we’ve posted represents the typical compensation range for this role. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance – 100% paid by CoreWeave
• Company‑paid life insurance
• Voluntary supplemental life insurance
• Short‑term and long‑term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition reimbursement
• Participation in employee stock purchase program (ESPP)
• Mental wellness benefits through Spring Health
• Family‑forming support provided by Carrot
• Paid parental leave
• Full‑service childcare support with Kinside
• 401(k) with generous employer match
• Flexible PTO
• Catered lunch each day in office and data center locations
• Casual work environment
• Work culture focused on innovative disruption

Our Workplace

We prioritize a hybrid work environment, but 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.

Equal Opportunity Employer

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: View email address on click.appcast.io.

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 be a U.S. person (U.S. citizen, legal permanent resident, refugee, or asylee) or otherwise qualified per relevant U.S. statutes. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.