CoreWeave · 2 hours ago
Senior Software Engineer II, Applied Training
Sunnyvale, CA
Full-time
Hybrid
Senior Level
$139K/yr - $204K/yr
5+ years expCoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for innovators to build and scale AI. The role involves contributing to the Applied Training team by designing and building research cluster platforms and sandbox infrastructure, ensuring researchers have efficient access to necessary tools without needing to manage infrastructure.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning
No H1B
U.S. Citizen Only
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
Qualification
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
Benefits
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
Company
CoreWeave
CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$24.87BKey Investors
Jane Street CapitalStack CapitalCoatue
2025-12-08Post Ipo Debt· $2.54B
2025-11-12Post Ipo Debt· $2.5B
2025-08-20Post Ipo Secondary
Leadership Team
Michael Intrator
Chief Executive Officer
Brannin McBee
Founder & CDO
Recent News
2026-01-23
Company data provided by crunchbase