Senior Software Engineer II, Applied Training

CoreWeave; Bellevue (WA); On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life Insurance

Disability Insurance

FSA

HSA

Tuition Reimbursement

ESPP

Mental Wellness

Family-forming support

Parental Leave

Childcare support

401(k) match

Flexible PTO

Catered lunch

Casual work environment

Innovative disruption culture

Job summary

CoreWeave is seeking an experienced senior contributor to shape the Applied Training platform for large AI workloads. You will craft a complete research cluster experience, including CLI, job configuration, and Kubernetes operators, while enabling RL training runs at scale in sandbox environments.

You will collaborate with customers and internal teams to unblock research workflows, document OSS training frameworks, and drive production-ready infrastructure across compute, storage, and networking

Qualifications

• 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 work with customers and translate researcher complaints into system designs

Responsibilities

• Contribute to the roadmap for Applied Training
• Work directly with customers and internal teams
• Design and build a complete research cluster experience (CLI, job config, Kubernetes operators)
• Own the Python SDK for sandbox infrastructure and enable RL training runs at scale
• Write documentation for running popular OSS training frameworks on CoreWeave
• Collaborate with infrastructure teams and customers to apply their learned patterns to CoreWeave builds

Skills

Distributed systems

ML infrastructure

Developer platforms

Kubernetes

Custom controllers & operators

Scheduling at scale

Customer communication

Tools

Kubernetes

Slurm

Ray

PyTorch

Container runtimes

Job description

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.

In This Role, You Will

• 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 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 — solving the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control
• For sandbox infrastructure: own the Python SDK and work in a tight loop with the backend team, enabling RL training runs to spawn thousands of isolated containers for agent rollouts and agent benchmarks at scale
• Write documentation for running popular OSS training frameworks on CoreWeave to 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 and 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
• 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
• Strong communicator who can work with customers and 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, and 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 base salary range for this role is $182,000 - $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

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.

• 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

Equal Opportunity & Accommodations

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: [e-mail].

Export Control Compliance

• 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.