Senior Software Engineer II, Applied Training

Coreweave; United States; On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Tuition Reimbursement

401(k) with employer match

Flexible PTO

Catered lunch

Job summary

CoreWeave is looking for a skilled professional to join their Applied Training team in the United States. The role involves developing a Kubernetes-native research platform to empower customers with innovative AI workloads. Candidates should have extensive experience in building scalable systems, particularly with Kubernetes and ML infrastructure.

The position offers a competitive salary ranging from $182,000 to $242,000, along with comprehensive benefits such as medical insurance, tuition reimbursement, and flexible PTO.

Qualifications

• 8–12+ years building distributed systems, ML infrastructure, or developer platforms.
• Experience with custom Kubernetes controllers and operators.
• Understanding of researcher productivity and code distribution.

Responsibilities

• Contribute to the roadmap for Applied Training.
• Design and build a complete research cluster experience.
• Work closely with customers to understand their supercomputing needs.

Skills

Distributed systems

Kubernetes

ML infrastructure

Developer platforms

Strong communication

Tools

Python SDK

Slurm

Ray

Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

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. 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.

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 specific: give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs.

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

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. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

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.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US‑based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:

• 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

California Applicants

California Consumer Privacy Act

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

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 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.