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
Communication @ 6
Machine Learning
Python @ 6
Robotics
SQL @ 6
- 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.
Details
NVIDIA is advancing AI, accelerated computing, robotics, and self-driving technology. As a Data Analyst - Automotive, you will help resolve real-world machine learning problems through data-driven methods and contribute to innovative autonomous-vehicle solutions.
Responsibilities
- Address long-tail issues in machine learning models using data-driven methods.
- Collaborate with machine learning engineers to evaluate model performance.
- Lead the development of internal tools for managing data lifecycles and ensuring label quality.
- Contribute to multiple projects through detailed documentation and effective organization.
Requirements
- Proficiency in Python and SQL.
- Fundamental understanding of deep neural networks and model performance measurement.
- Excellent communication skills and a collaborative, team-oriented approach.
- Master's degree or higher in a related discipline, or equivalent experience.
- At least 8 years of industry experience.
Preferred Qualifications
- Industrial experience in autonomous driving.
- Ability to communicate effectively and demonstrate impact across different teams.
- Strong attention to detail, particularly regarding data and labels.
- Strong documentation and organizational skills.
Compensation and Benefits
- Base salary range of USD 168,000–264,500 for Level 4.
- Base salary range of USD 200,000–322,000 for Level 5.
- Eligibility for equity and benefits.
- Salary is determined based on location, experience, and compensation for employees in similar positions.
NVIDIA is an equal opportunity employer committed to an inclusive work environment. Applications will be accepted at least until August 10, 2026.
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