What you’ll be doing:
- 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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- TensorFlow or PyTorch.
- Linux and HPC / large‑scale or performance‑sensitive environments.
- Experience visualizing high‑dimensional problems.
- Diligent, action‑biased analysis style.
NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) with 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.
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.
We will also provide equity and other benefits.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
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