Senior Software Engineer II, Applied Training

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.

What You'll Do

As a Senior Software Engineer II, Applied Training, you will be an early member of a small team responsible for developing a Kubernetes-native research cluster platform or a sandbox client for agentic training and evaluation. Your goal will be to provide every CoreWeave customer with research infrastructure that currently only exists inside frontier labs.

Responsibilities

• Contribute to the roadmap for Applied Training and identify what unlocks new workloads
• Work closely with customers and other teams to build cloud-native primitives
• Design and build a complete research cluster experience, including CLI, job configuration schema, and 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 understand their needs

Requirements

• 8–12+ years of experience building distributed systems, ML infrastructure, or developer platforms
• Real Kubernetes experience with custom controllers, operators, scheduling, and workload orchestration
• Understanding of what makes researchers productive, including code distribution and fast iteration cycles
• Familiarity with training, including distributed job scheduling and rank initialization
• Experience shipping infrastructure that others rely on daily
• Strong communication skills to work with customers and translate researcher complaints into system designs

Preferred

• Experience building internal ML platforms or research clusters
• Familiarity with agentic AI, RL training, and sandbox isolation
• Background with Slurm, Ray, or similar workload orchestration
• Experience with container runtimes, isolation, or serverless platforms
• OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar

Benefits

• Competitive salary ($182,000 - $242,000)
• Comprehensive benefits program, including medical, dental, and vision insurance
• Flexible spending account and health savings account
• Tuition reimbursement and employee stock purchase program
• Mental wellness benefits and family-forming support
• Paid parental leave and flexible PTO
• Catered lunch and casual work environment