Senior Software Engineer, At Scale Compute Analysis

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Health care coverage

401(K) with company matching

Employee Stock Purchase Program

Paid sick leave and vacation

Job summary

NVIDIA Gruppe is seeking a Data Analyst to join their GPU-accelerated cluster team. In this role, you will analyze complex datasets to drive application and platform improvements while applying machine learning and deep learning techniques to derive actionable insights.

The ideal candidate will have over 5 years of experience in data analysis, strong skills in Python and JavaScript, and be comfortable managing analyses end-to-end. The position offers a competitive salary and a comprehensive benefits package.

Qualifications

• 5+ years analyzing complex datasets and communicating trends clearly.
• Comfortable being responsible for an analysis end-to-end.
• Hands‑on use of telemetry/observability stacks.

Responsibilities

• Analyze large-scale workloads and infrastructure signals.
• Summarize conclusions and communicate results to engineers.
• Build and maintain practical visualizations.

Skills

Data analysis

Python

JavaScript

Machine Learning

Deep Learning

Education

BS or MS in Engineering, Mathematics, Physics, Computer Science

Tools

Grafana

Elasticsearch

Splunk

Job description

Job Overview

As a Data Analyst on NVIDIA’s GPU-accelerated cluster team, you will turn telemetry and workload data into clear findings and visuals, partner with OS, container, GPU, and systems engineers, and apply machine learning and deep learning techniques for categorization and forecasting.

Responsibilities

• Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities.
• Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership.
• Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work.
• Build and maintain practical visualizations and lightweight implementations (e.g., ML/DL for classification/prediction) inside existing software workflows.

Qualifications

• 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly.
• BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
• Strong Python and JavaScript skills.
• Comfortable being responsible for an analysis end-to-end.
• Hands‑on use of telemetry / observability stacks (e.g., Grafana, Elasticsearch, Splunk).
• Shorthand grasp of core ML concepts; quick learner; strong analytical and problem‑solving skills.
• Excellent collaboration and communication abilities.

Ways to Stand Out

• Experience with TensorFlow or PyTorch.
• Linux and HPC / large‑scale or performance‑sensitive environments.
• Experience visualizing high‑dimensional problems.
• Analytical style that is diligent and action‑biased.

Benefits

NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) including company matching, after‑tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection.

Compensation

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.

Application Information

Applications for this job will be accepted at least until June1,2026.

Equal Opportunity Employment

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.