This role pays more than
96%
of similar roles. Most pay
$150,000–$214,425
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$182k
for comparable roles.
Based on 240 similar postings.
Employer
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Software Engineer, AIOps and Observability will join a team of engineers and product managers to design, develop, and deploy AIOps and observability platforms used to monitor and optimize millions of assets across cloud, on-prem, data center, supply chain, and edge environments. The role involves defining the technical roadmap, establishing standard methodologies, mentoring other engineers, and collaborating with data scientists to implement machine learning models for anomaly detection and root cause analysis. You will build agentic workflows and AI-native tools to process metrics, logs, traces, and events. Required skills include proficiency in Go, Python, Java, or C#, along with experience in Kubernetes, Docker, NATS, and Kafka. The candidate must be skilled with tools such as Prometheus, Victoria Metrics, Vector, Loki, Grafana, Alert Manager, Clickhouse, and OpenTelemetry to manage large-scale distributed systems.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
C#
Go
Python
Bash
PowerShell
Perl
RESTful API
CI/CD
Infrastructure as Code
Observability
Grafana
Splunk
Cloud Infrastructure
DevOps
Linux
Windows
Event-driven Automation
AI Platform