Senior Software Engineer, At Scale Compute Analysis

at Nvidia

USD 152,000-241,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Communication @ 6 Debugging @ 6 Deep Learning ElasticSearch GPU Grafana JavaScript @ 7 Machine Learning Mathematics @ 4 Observability Python @ 7 Splunk

Details

NVIDIA is analyzing large-scale datacenter workloads on GPU-accelerated clusters to turn telemetry and workload data into clear findings and visuals. The role partners with OS, container, GPU, and systems engineers and, when useful, applies machine learning and deep learning techniques for categorization and forecasting, coordinated into tools the team uses.

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.

Requirements

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.
Comfortable being responsible for an analysis end-to-end.
Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk).
Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills.
Collaboration and communication.

Benefits

NVIDIA also offers a comprehensive benefits package, including health care coverage, dental and vision, 401(K) (including company matching and 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.

The posting also states you will be eligible for equity and benefits.