Senior Software Engineer II, Applied Training

What You'll Do A lab signs with CoreWeave and has thousands of GPUs waiting, yet the first month is spent on cluster setup and operations instead of research. We are building the Applied Training team to fix this problem. In this role you will Contribute to the roadmap for Applied Training – identify what unlocks new workloads and what is merely nice to have. Work directly and closely with customers and other CoreWeave teams building cloud‑native primitives: compute, storage, networking, etc. Design and build a complete research cluster experience—including a CLI, job configuration schema, Kubernetes operators, daemons—to address researcher pain points such as code distribution, checkpoint‑triggered evaluation, cross‑cluster scheduling, and programmatic job control. Own the Python SDK for sandbox infrastructure, working iteratively with the backend team to enable RL training runs that spawn thousands of isolated containers for agent rollouts and benchmarks at scale. Write documentation for running popular OSS training frameworks on CoreWeave to unblock customers and help them succeed. Collaborate with infrastructure teams and customers—the large AI labs running thousands of GPUs—to understand their supercomputing stacks and feed that knowledge back into our designs. Who You Are 8‑12+ years of experience building distributed systems, ML infrastructure, or developer platforms. Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, and workload orchestration at scale—not just deployment or administration. A deep understanding of researcher productivity needs: code distribution, fast iteration cycles, and workflows that do not require becoming infrastructure experts. Familiarity with training orchestration—how distributed jobs get scheduled, rank initialization, and common scalability issues. Proven track record of shipping production infrastructure that others rely on daily. Strong communication skills, able to work with customers and translate their complaints into system designs. Preferred Experience building internal ML platforms or research clusters at a company that does 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 their strengths and shortcomings. Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms. OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar. Salary 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. What We Offer Medical, dental, and vision insurance – 100% paid by CoreWeave Company‑paid Life Insurance Voluntary supplemental life insurance Short‑ and long‑term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Employee Stock Purchase Program (ESPP) participation 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 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, the applicant must either be (A) a U.S. person, defined as a U.S. citizen or national, a U.S. lawful permanent resident (green card holder), refugee under 8 U.S.C. § 1157, or 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. #J-18808-Ljbffr