below marketmost similar roles pay hereabove market
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$151,375–$210,000.
Based on 240 similar postings.
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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
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Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
Senior Software Engineer, AIOps and Observability will join a team of engineers and product managers to design and develop AIOps and Observability platforms. The role involves leading the design, development, and deployment of platforms for metrics, logs, traces, events, alerts, and dashboards. Key responsibilities include defining observability strategies, mentoring engineers, and building agentic workflows for anomaly detection, forecasting, and root cause analysis. The candidate will utilize technologies including Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, OpenTelemetry, BigPanda, PagerDuty, and Datadog. Required skills include experience with Kubernetes, Nomad, Docker, microservices, and streaming services like NATS and Kafka. The position focuses on building scalable, distributed systems to monitor millions of assets across cloud, on-prem, data centers, supply chain, and edge environments.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Lead the design, development, and deployment of AIOps and observability platforms for metrics, logs, traces, and alerts.
Drive the technical vision and roadmap for observability initiatives to align with business goals and industry best practices.
Establish and implement observability standards, guidelines, and processes across the entire organization.
Develop and operate scalable, distributed systems capable of handling high traffic and complex workloads.
Implement machine learning models for anomaly detection, forecasting, and root cause analysis on telemetry data.
Build agentic workflows and AI-native tools to automate debugging and remediation recommendations.
Establish scalable data pipelines for collecting, aggregating, and visualizing telemetry from diverse assets.
Provide peer reviews to other engineers regarding performance, scalability, security, and code correctness.
What we're looking for
Bachelor’s degree in computer science and engineering, or related field, or equivalent experience.
12+ years of experience in product development and full stack engineering.
5+ years of experience in developing and operating observability platforms and solutions, preferably in a cloud-native environment (preferred).
Strong knowledge and experience with observability tools such as Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, and OpenTelemetry.
Hands-on knowledge in AIOps tools such as BigPanda, PagerDuty, and Datadog.
Experience with Kubernetes, Nomad, Docker, microservices architectures, and streaming services like NATS or Kafka.
Proficient in one or more programming languages, such as Go, Python, Java, or C#.
Experience with developing observability solutions for On-prem and Public Cloud environments, including BareMetal Infrastructure.
Java
Distributed Systems
OpenTelemetry
Prometheus
Grafana
Columnar Storage
Time Series Database
Data Structures
Algorithms
Concurrent Programming
Scalable Infrastructure
Observability Platforms