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 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