Platform Support Engineer

About

Platform Support Engineer, a remote full-time position supporting ML engineers with large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms, while diagnosing failures and improving reliability.

Key Responsibilities

• Partner with customer engineering teams to resolve complex distributed systems and ML infrastructure issues
• Investigate failures involving distributed training, Kubernetes orchestration, and GPU allocation
• Identify patterns in customer issues to drive long-term reliability improvements and contribute to operational enhancements

Required Qualifications

• Strong software engineering and systems troubleshooting background
• Experience with Kubernetes and containerized environments
• Hands-on experience operating machine learning workloads in production or research environments
• Familiarity with GPU infrastructure and orchestration
• Experience with observability and debugging tools such as Prometheus or Grafana