about 4 hours ago
Responsibilities
- Design, build, and operate software for managing large-scale GPU infrastructure.
- Develop internal platforms and AI-powered agents to automate fleet operations.
- Enhance observability, reliability, and operational efficiency across GPU clusters.
- Create systems for capacity planning, scheduling, and incident response.
- Identify and resolve infrastructure bottlenecks to improve performance.
- Collaborate with cross-functional teams to enhance the compute platform.
- Establish best practices for operational excellence and infrastructure reliability.
Requirements
- 5+ years of software engineering experience in production infrastructure.
- Strong programming skills in Go, Python, C++, Rust, or similar languages.
- Experience with highly available distributed systems.
- Familiarity with GPU infrastructure and large-scale compute platforms.
- Knowledge of Kubernetes, cloud infrastructure, and observability tools.
- Excellent debugging and operational problem-solving skills.
- Strong communication skills for collaboration across engineering teams.