Manager, Software Engineering
Core
Lead an engineering team building and scaling the AI infrastructure platform (GPU clusters, Kubernetes) used by NVIDIA researchers to train frontier AI/ML models.
Role type
Senior Engineering Manager (AI Infrastructure)
Builds
Large-scale distributed GPU clusters, Kubernetes-based scheduling platforms, and tools for model training (pre-training, post-training, RL).
Domain
Artificial Intelligence / High-Performance Computing / Cloud Infrastructure
Deliverable
production ML models
Required skills
Team leadership and hiring, distributed systems architecture, Kubernetes platform management, reliability engineering (on-call, incident response), stakeholder management with research teams, technical decision-making, written communication.
Preferred skills
GPU cluster management at scale, reinforcement learning infrastructure, open-source contributions, cross-timezone team leadership, AI coding/operations tools.
Technologies
Kubernetes, GPU clusters, Cloud providers, Distributed storage systems, Networking.
Responsibilities
Lead, hire, and grow a team of software and systems engineers; own the platform roadmap, architecture, and reliability; translate research needs into platform capabilities; drive engineering quality and automation at fleet scale; partner with internal infrastructure teams and external vendors; measure and prioritize based on reliability and latency metrics.
Seniority
Senior, hands-on IC with management responsibilities
