$200,000 – $322,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Design and develop AIOps and observability platforms at NVIDIA that monitor millions of assets across cloud, on-prem, and edge environments. This role suits experienced engineers who excel at large-scale system design, have deep observability expertise, and can mentor teams while driving technical vision.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- Apache Kafka
- C#
- ClickHouse
- Datadog
- Docker
- Generative AI
- Go
- Grafana
- Grafana Loki
- Java
- Kubernetes
- Machine Learning
- OpenTelemetry
- PagerDuty
- Prometheus
- Python
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What they ask for
Required
- Bachelor's degree in computer science, engineering, or equivalent experience
- 12+ years of product development and full stack engineering
- 5+ years developing and operating observability platforms in cloud-native environments
- Strong knowledge of observability tools like Prometheus, Victoria Metrics, Vector, Loki, Grafana, Clickhouse, OpenTelemetry
- Experience with Kubernetes, Nomad, Docker, and microservices architectures
- Experience with streaming services like NATS and Kafka
- Proficiency in Go, Python, Java, or C#
- Passion for observability and delivering high-quality internal platforms
- Experience developing observability solutions for on-prem and public cloud environments
- Experience running large observability platforms on bare metal infrastructure
- Ability to establish scalable data pipelines for telemetry collection and visualization
Nice to have
- Deep understanding of observability solutions for large-scale on-prem infrastructure and networking
- Experience managing large-scale observability platforms with LLMs and ML models
- Built unified cloud observability platforms monitoring network, compute, power, storage, OS, security, applications, and SaaS
- Expertise using machine learning and generative AI for predictive monitoring, incident diagnosis, summarization, and correlation
- Proficiency in AI/ML systems, generative AI, or agentic AI frameworks