$152,000 – $241,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role analyzes large-scale GPU workload and infrastructure data to identify optimization opportunities, working across teams to turn telemetry into actionable insights and tools. It suits someone with deep data analysis experience who can move fluidly between exploration, visualization, and machine learning to solve production problems at scale.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years analyzing complex datasets
- BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
- Strong Python and JavaScript
- End-to-end ownership of analyses
- Hands-on experience with telemetry or observability tools like Grafana, Elasticsearch, or Splunk
- Understanding of core machine learning concepts
- Collaboration and communication skills
Nice to have
- TensorFlow or PyTorch
- Linux and HPC or large-scale performance-sensitive environments
- Experience visualizing high-dimensional data
- Diligent, action-biased analysis approach