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 models.
Role type
Senior Engineering Manager (AI Infrastructure)
Builds
Large-scale GPU clusters, Kubernetes-based scheduling platforms, and tools for pre/post-training and reinforcement learning workloads.
Domain
Artificial Intelligence / High-Performance Computing / Cloud Infrastructure
Deliverable
production ML models
Required skills
Team leadership and hiring, distributed systems architecture, Kubernetes, workload scheduling, reliability engineering, stakeholder management, technical decision-making
Preferred skills
GPU cluster management at scale, reinforcement learning infrastructure, open-source contributions, cross-timezone team leadership, AI coding tools
Technologies
Kubernetes, GPU clusters, Cloud providers
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 and external infrastructure teams; measure and prioritize based on researcher metrics (latency, reliability).
