Senior AI/HPC Telemetry & Observability Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA Corporation in California seeks an AI & HPC Observability Engineer to design and scale high-throughput telemetry platforms, building backend services for ingestion and processing, and extending OpenTelemetry collectors.

You'll work across distributed systems, time-series storage, and real-time pipelines, collaborating with platform and SRE teams to deliver production-grade observability solutions.

Qualifications

• 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, with experience 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.
• Strong understanding of distributed systems, concurrency, and fault-tolerant system design.
• Strong debugging, performance tuning, and production operations skills.

Responsibilities

• Design and scale observability platforms handling 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, performance, and cost efficiency through tuning, capacity planning, and system optimization.
• Develop monitoring, alerting, and service reliability frameworks to ensure platform health and performance.
• Collaborate with platform engineering, infrastructure, and site reliability teams to deliver production-grade observability solutions.

Skills

Python

Go

Java

PromQL

Education

Bachelor's degree in Computer Science/Engineering

Tools

Kafka

Spark

Flink

Kubernetes

Job description

NVIDIA Corporation in California seeks an AI & HPC Observability Engineer to design and scale high-throughput telemetry platforms, building backend services for ingestion and processing, and extending OpenTelemetry collectors.

You'll work across distributed systems, time-series storage, and real-time pipelines, collaborating with platform and SRE teams to deliver production-grade observability solutions.