Senior AI and HPC Observability Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k

This role $197k

$141k $252k

below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $162,000–$233,850 — the blue band above. At the midpoint, this role pays about $197k versus about $198k 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 1668 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 657 roles with salary data.

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At a glance

TL;DR · Senior AI and HPC Observability Engineer

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The Senior AI and HPC Observability Engineer joins the Managed AI Superclusters team to build and scale next-generation observability and telemetry platforms. You will design and develop high-throughput telemetry pipelines, high-performance backend services for ingestion and routing, and extend OpenTelemetry collectors, processors, and instrumentation libraries. Your daily work involves building metrics pipelines using large-scale time-series storage systems, optimizing platform reliability through capacity planning, and developing monitoring and alerting frameworks. You will utilize Python, Go, or Java to manage distributed systems and cloud-native infrastructure including Kubernetes. Key technical requirements include experience with PromQL, Kafka, Spark, or Flink to handle high-volume metrics, logs, and traces. This role specifically addresses the technical challenge of monitoring GPU workloads and AI/ML pipelines within high-performance computing environments.

Skills

OpenTelemetry Prometheus Kafka Python Go Java Kubernetes Spark Flink PromQL Distributed Systems Data Pipelines Metrics Logs Traces Anomaly Detection

What you'll do

Design and scale observability platforms for high-volume metrics, logs, and traces across distributed environments.
Build high-performance backend services for telemetry ingestion, processing, and routing.
Develop and extend OpenTelemetry collectors, processors, exporters, and instrumentation libraries.
Build and optimize metrics pipelines using large-scale time-series storage systems.
Design and operate real-time and batch telemetry pipelines using streaming and distributed data technologies.
Improve platform reliability and cost efficiency through tuning, capacity planning, and system optimization.
Develop monitoring, alerting, and service reliability frameworks to ensure platform health.

What we're looking for

Bachelor’s degree in Computer Science, Computer Engineering, or related field or equivalent experience.
5+ years of experience building backend or distributed systems in production environments.
Strong programming skills in Python, Go, or Java for developing production-quality software.
Hands-on experience with modern observability architectures, including metrics, logs, and traces.
Solid experience with PromQL and time-series data systems.
Experience building or operating distributed data pipelines using technologies such as Kafka, Spark, or Flink.
Experience working with Kubernetes and cloud-native infrastructure.
Proven experience designing and scaling observability platforms for AI, GPU, or HPC environments (preferred).

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