- 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 other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.