Senior AI and HPC Observability Engineer

NVIDIA; Seattle (WA); Sur place; USD 152 000 - 241 500; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

A leading technology company is seeking an AI & HPC Observability Engineer to join their Managed AI Superclusters (MARS) team in Seattle. The role involves designing and scaling observability platforms and telemetry pipelines. Candidates should have experience with distributed systems and programming skills in Python, Go, or Java. A Bachelor's degree in Computer Science or a related field is required. The position offers a competitive salary range of $152,000 to $287,500 based on experience, along with equity and benefits.

Qualifications

• 5+ years of experience building backend or distributed systems in production environments.
• Strong programming skills in Python, Go, or Java.
• Hands-on experience with observability architectures, including metrics, logs, and traces.

Responsabilités

• Design and scale observability platforms for high-volume metrics.
• Build high-performance backend services for telemetry ingestion.
• Develop and extend OpenTelemetry tools for metrics and telemetry.

Connaissances

Python programming

Go programming

Java programming

Distributed systems knowledge

Observability architectures

Kafka

Spark

Flink

Kubernetes

Prometheus

Formation

Bachelor's degree in Computer Science or related field

Outils

OpenTelemetry

Time-series data systems

Description du poste

Overview

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads.

Observability is at the heart of this transformation. We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation Observability and Telemetry platforms. You will design and develop high-throughput, reliable telemetry pipelines and modern data infrastructure. This role requires solid distributed systems fundamentals, production-grade coding, and a passion for operational excellence.

What You Will Be Doing

• 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

What We Need To See

• 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

Ways To Stand Out From The Crowd

• Proven experience designing and scaling observability platforms for AI, GPU, or HPC environments
• Hands-on expertise with OpenTelemetry, Prometheus, Kafka, and high-volume distributed telemetry pipelines
• Strong background in data engineering, time-series data modeling, and real-time performance tuning
• Experience integrating observability with AI/ML pipelines, GPU workload monitoring, or intelligent alerting
• Demonstrated use of statistical or machine learning techniques for anomaly detection, correlation, or predictive insights

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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