2 days ago
Seattle, WA, USA or Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- 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 reliability, performance, and cost efficiency through tuning, capacity planning, and system optimization.
- Develop monitoring, alerting, and service-reliability frameworks and collaborate with platform, infrastructure, and site reliability teams.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 5+ years of experience building backend or distributed systems in production environments.
- Strong production programming skills in Python, Go, or Java.
- Hands-on experience with observability architectures covering metrics, logs, and traces.
- Experience with PromQL, time-series data systems, and distributed data pipelines using technologies such as Kafka, Spark, or Flink.
- Experience with Kubernetes and cloud-native infrastructure.
- Strong understanding of distributed systems, concurrency, fault-tolerant design, debugging, performance tuning, and production operations.
- Preferred experience includes scaling observability platforms for AI, GPU, or HPC environments; OpenTelemetry and Prometheus expertise; data engineering and time-series modeling; GPU workload monitoring; and statistical or machine learning techniques for anomaly detection or predictive insights.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors; the posting lists Level 3 and Level 4 salary ranges.
- Applications will be accepted at least until November 3, 2026.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.