Senior AI and HPC Observability Engineer

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is looking for a skilled engineer to design and scale observability platforms in Santa Clara, California. This role entails building backend services for telemetry ingestion and collaborating with various teams to ensure platform health. Candidates should have a relevant Bachelor’s degree and over 5 years of experience in distributed systems, ideally with programming skills in Python, Go, or Java. The salary range for this position is competitive and includes equity and benefits.

Qualifications

• 5+ years of experience building backend or distributed systems in production environments.
• Hands-on experience with modern observability architectures.
• Strong understanding of distributed systems and fault-tolerant design.

Responsibilities

• Design and scale observability platforms for metrics, logs, and traces.
• Build high-performance backend services for telemetry ingestion.
• Collaborate with platform engineering and infrastructure teams.

Skills

Python

Go

Java

Kubernetes

Kafka

Spark

Flink

OpenTelemetry

Prometheus

Observability

Education

Bachelor’s degree in Computer Science, Computer Engineering, or related field

Job description

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.

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.

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.