- Great 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/LLM evaluation with 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+ years of industry experience with Bachelor degree or proven track record for Master in statistics, mathematics, computer science, engineering, or a related quantitative field, or equivalent experience in practice.
Ways To Stand Out from the Crowd
- Background with 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.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.