Senior Software Engineer II, Applied Training

Job Description

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 production-ready infrastructure.

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 track record of shipping production systems and familiarity with distributed training workflows.

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-term Disability Insurance, Long-term Disability Insurance, Flexible Spending Account, Health Savings Account, Tuition Reimbursement, Employee Stock Purchase Program (ESPP), Mental Wellness Benefits, Family-Forming Support, Paid Parental Leave, Childcare Support, 401(k) with Employer Match, Flexible PTO, Catered Lunch