- MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 10+ years of experience designing, building, and operating large-scale data pipelines and data platforms for distributed systems or infrastructure data
- Proficiency in Python and SQL, with experience supporting analytical and exploratory workloads
- Hands-on experience with distributed data processing frameworks such as Spark or similar technologies
- Familiarity working with observability and telemetry data, including metrics, logs, traces, and time-series data
- Experience designing data models and schemas that support flexible analysis and forecasting
- Ability to take ownership of data engineering initiatives and drive them end-to-end in collaboration with multi-functional partners
- Experience implementing data quality, validation, and monitoring for analytics pipelines
- Strong communication and collaboration skills, particularly when collaborating with engineering and infrastructure teams
- Adaptability in fast paced environments with evolving analytical and operational needs
Ways to Stand Out from the Crowd
- Experience supporting datacenter infrastructure analytics, hardware reliability programs, or workload performance analysis
- Familiarity with EDA workflows, HPC environments, or GPU-accelerated compute platforms
- Experience integrating or operating observability stacks (Prometheus, Grafana, Elastic/OpenSearch, Kafka, Spark, or similar tools)
- Background in large-scale distributed systems or data platforms
- A track record of improving analytics velocity and reliability through better data foundation
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: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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.