Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 152,000-253,000 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.

AI @ 4 Agile @ 4 Communication @ 6 Data Analysis @ 4 GPU Python @ 7 Software Development @ 4

Details

NVIDIA is transforming computer graphics, PC gaming, and accelerated computing, and is applying AI to define the next era of computing—where GPUs act as brains of computers, robots, and self-driving cars.

This role is within a world-class autonomous driving hardware and software development team. You will work on real-time challenges in the automotive industry and on AV software agile iteration & development for client release, collaborating with engineering teams, understanding the AV stack deeply, and providing data-based judgment to deliver high-quality AV software to end customers.

Responsibilities

Work with Product, Engineering, In-car testing teams on AD product performance definition, create triage plan, provide performance assessment and release judgments.
Supervise and categorize test events from scaling tests; 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/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 in understanding the current state of product/software and making priorities.

Requirements

Bachelor’s 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 ability to zoom in/out of scope as needed—from lowest-level detail to high-level vision.
Problem solver with a “Buck stops with you” mindset.
Excellent communication and presentation skills.