Senior Software Engineer, AIOps
Core
Build mission-critical distributed systems for an AIOps platform that ingests massive telemetry streams from GPU clusters, operationalizes predictive AI models, and powers real-time dashboards and automated incident response.
Role type
Senior IC software engineer (distributed systems & MLOps)
Builds
High-scale SaaS and on-premises AIOps platform for NVIDIA's AI Factories
Domain
AI Infrastructure / GPU Clusters / Observability
Deliverable
production ML models
Required skills
Go, C++, Rust, Kubernetes, distributed systems, high-performance concurrent architectures, ML model serving, data storage strategies
Preferred skills
MLOps tooling, model registries, feature stores, taking prototypes to production-grade platforms
Technologies
Kubernetes, Go, C++, Rust, GPU clusters
Responsibilities
Architect agentic AIOps systems for autonomous monitoring and diagnostic workflows; Research and prototype data storage strategies for AI training; Design distributed systems for extreme telemetry density; Instrument services with deep observability; Build and own model-serving infrastructure; Contribute to core platform libraries
Seniority
Senior, hands-on IC
