Senior Software Engineer II, Applied Training

Design and build a Kubernetes-native research cluster platform and sandbox infrastructure to streamline AI model training for customers. Collaborate with AI labs to translate researcher needs into scalable system designs and technical documentation. Requirements: Requires 8-12+ years of experience building distributed systems or ML infrastructure with deep expertise in Kubernetes operators and orchestration. Candidates should have a strong understanding of distributed training workflows and the ability to ship production-grade infrastructure. Key Skills: Kubernetes, Distributed Systems, ML Infrastructure, Python, Custom Controllers, Kubernetes Operators, CRDs, Workload Orchestration, RL Training, Container Runtimes, Slurm, Ray, PyTorch, System Design, Developer Platforms, API Design Benefits: Medical insurance Dental insurance Vision insurance 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) 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 employer match Flexible PTO Catered lunch #J-18808-Ljbffr CoreWeave