NVIDIA
Senior Software Engineer, At Scale Compute Analysis
$152K–$242K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Oct 21, 2026
- Location
- US, CA, Santa Clara
US, NC, Remote
US, CO, Remote
US, WA, Remote
US, CA, Remote - Experience
- 5+ years analyzing complex datasets, debugging data issues, and communicating trends.
- Education
- BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
About the job
Analyze datacenter workloads and infrastructure signals on GPU-accelerated clusters, communicate findings, and build visualizations and lightweight analysis tools.
What you'll do
- Analyze workloads and infrastructure signals to identify application and platform improvements; investigate trends and relate changes to events.
- Scope analyses with teammates, document methods, and communicate conclusions to engineers and leadership.
- Build and maintain visualizations and lightweight ML/DL implementations for classification or prediction within existing workflows.
What they ask for
- 5+ years analyzing complex datasets, debugging data issues, and communicating trends.
- BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
- Strong Python and JavaScript; hands-on use of telemetry or observability stacks such as Grafana, Elasticsearch, or Splunk.
- Core ML concepts, end-to-end analysis ownership, and strong analytical, problem-solving, collaboration, and communication skills.
Nice to have
- TensorFlow or PyTorch.
- Linux and HPC, large-scale, or performance-sensitive environments; experience visualizing high-dimensional problems.
Pay
152,000 USD - 241,500 USD (base salary)
Tools
Python, JavaScript, Grafana, Elasticsearch, Splunk, TensorFlow, PyTorch, Linux
AI focus
Apply machine learning and deep learning techniques for workload categorization, classification, and forecasting or prediction. NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative