Senior AI/HPC Observability Engineer

NVIDIA Corporation; Santa Clara (CA); Sur place; USD 184 000 - 288 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

NVIDIA Corporation is seeking an AI & HPC Observability Engineer to design and scale high-throughput telemetry platforms in a distributed environment. You will build backend services for ingestion, processing, and routing, and extend OpenTelemetry tooling to support large-scale AI/HPC workloads.

You will collaborate with platform, infrastructure, and site reliability teams to improve reliability, performance, and cost efficiency while advancing monitoring, alerting, and SLIs for production-grade

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

Responsabilités

• 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.

Connaissances

Python

Go

Java

Observability concepts

PromQL

Time-series

Formation

Bachelor’s degree in Computer Science or related field

Outils

OpenTelemetry

Prometheus

Kafka

Spark

Flink

Kubernetes

Cloud platforms

Description du poste

NVIDIA Corporation is seeking an AI & HPC Observability Engineer to design and scale high-throughput telemetry platforms in a distributed environment. You will build backend services for ingestion, processing, and routing, and extend OpenTelemetry tooling to support large-scale AI/HPC workloads.

You will collaborate with platform, infrastructure, and site reliability teams to improve reliability, performance, and cost efficiency while advancing monitoring, alerting, and SLIs for production-grade