Senior Data Scientist, Data Quality and AI Evaluation

Details

NVIDIA is building the next generation of AI-native autonomous driving architecture by combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. This role focuses on data quality and AI evaluation for autonomous driving systems.

Responsibilities

• Define quality metrics and evaluation methods to identify where auto-labeling pipelines succeed, fail, or regress.
• Build and maintain human-verified golden datasets covering representative driving conditions, critical corner cases, historical failures, and new requirements.
• Analyze large-scale sensor, camera, and annotation data to identify root causes, discover systematic errors, and prioritize improvements with perception and auto-labeling engineers.
• Develop automated approaches for failure clustering, similar-case discovery, and targeted selection of data for human correction.
• Build statistically sound audits and experiments, establish release acceptance criteria, and communicate findings through clear dashboards and recommendations.
• Partner with labeling operations to improve annotation guidelines, reviewer consistency, and the balance between quality, efficiency, and cost.

Requirements

• Strong foundations in statistics, experimental design, sampling, hypothesis testing, and uncertainty estimation, with practical experience evaluating machine learning systems and data quality.
• Experience working on AI or LLM evaluation.
• Proficiency in Python and SQL, including analyzing large datasets and building reproducible analytical workflows.
• Understanding of precision, recall, class imbalance, selection bias, data leakage, and evaluation across significant scenario groups.
• Ability to distinguish reference-label defects from model errors and translate ambiguous quality concerns into measurable questions and actionable recommendations.
• Strong communication and teamwork skills, with experience working across engineering, research, product, or operations teams.
• 12 or more years of industry experience with a bachelor's degree, or a proven track record for a master's degree, in statistics, mathematics, computer science, engineering, or a related quantitative field; equivalent practical experience may also qualify.

Preferred Qualifications

• Background in autonomous driving, robotics, or computer vision, particularly camera and LiDAR data, 2D/3D annotations, multi-object tracking, occupancy, or temporal and cross-sensor consistency.
• Experience designing human-in-the-loop labeling and audit workflows, measuring annotator agreement, or maintaining versioned benchmarks with protected evaluation sets.

Compensation and Benefits

• Expected base salary for Level 5: USD 224,000–356,500 per year.
• Expected base salary for Level 6: USD 272,000–431,250 per year.
• Eligible for equity and benefits.
• Applications accepted at least until November 3, 2026.
• NVIDIA is an equal opportunity employer.