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# Senior Data Analysis Engineer, AD Metrics...

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $253,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Python (Programming Language), Software Engineering, Scripting, Information Technology
- **Published:** July 19, 2026
- **Apply:** https://www.juju.com/job/00000000ghmo5q

## About the Role

+ Bachelors or equivalent experience in Computer Science, Electrical Engineering, AI or related fields

 + 8+ proven experience on ADAS/AD vehicle/digital test, data analysis and large datasets from customer cars.

 + Proficiency in Python and a deep understanding of software engineering practices

 + Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job

 + Problem solver and "Buck stops with you"

 + Excellent communication and presentation skills

Ways to stand out from the crowd:

 + Strong in scripting/tools development.

 + Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.

## Description

We're looking for a Senior Data Analysis Engineer, AD critical metrics with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.

What you'll be doing:

 + Work with Product, Engineering, In-car testing team on AD product performance definition, make triage plan, provide performance assessment and release judgments.

 + Supervise and categorize test events from the scaling test, present spike critical metric trends and top issues with deep analysis.

 + Collaborate with multi-functional teams to define data analysis requirements and process, supervise and improve large scale triage efficiency and quality.

 + Improve end to end driving policy product/model performance with data quantity, quality and diversity.

 + Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.


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