Autonomous Vehicle World-Model Evaluation Engineer(Equity)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced systems engineer to advance world-model evaluation for autonomous driving. You will translate driving-feature needs into measurable requirements, create scenarios, and build evaluators linking perception and map-fusion to vehicle behavior.

Collaborate across perception, mapping, planning, safety, and data teams to ensure robust evaluation and release readiness. The role emphasizes Python/SQL expertise, data-driven decision making, and creating scalable evaluation

Qualifications

• MS or PhD in engineering, computer science, physics, data science or related field, or equivalent experience.
• 8+ years of relevant experience in systems engineering, quantitative systems analysis, verification and validation, data science or experiment design for complex software systems.
• Experience translating system needs and failure modes into measurable requirements, test strategies and acceptance criteria.
• Experience evaluating perception, map-fusion or comparable systems, including evaluation-data strategies and ground-truth quality.
• Strong Python and SQL skills, with experience building reproducible analyses and extracting insights from large datasets.
• Experience building Python evaluation pipelines using distributed data-processing frameworks, object storage and SQL-based data platforms.
• A foundation in statistical analysis, experiment design, measurement uncertainty and performance-budget allocation.
• Attention to detail and ownership: you check assumptions, validate results and follow issues through to resolution.
• Ability to build technical alignment across teams and communicate findings, limitations and trade-offs clearly.
• Proficiency with SQL and Python or C++

Responsibilities

• Translate driving-feature needs and safety analysis into world-model requirements, performance targets and error budgets.
• Investigate real-world failure modes and develop metrics, scenarios and tests that expose gaps across operating conditions.
• Build and validate evaluators that connect world-model errors to vehicle behavior.
• Partner with our data and ground-truth teams to define evaluation datasets and labeling guidelines, addressing ambiguous cases, label quality, coverage, provenance and independence from training data.
• Develop reproducible analysis and automated triage using on-road data, replay and closed-loop simulation to distinguish product failures from evaluation and data issues.
• Help us turn results into decisions through evaluation tools and dashboards that guide improvements and demonstrate release readiness.

Skills

Python

SQL

C++

Data analysis

Systems engineering

Education

MS or PhD in Engineering / CS / Physics / Data Science or related

Tools

Temporal

SQL-based data platforms

Python pipelines

Job description

NVIDIA is seeking an experienced systems engineer to advance world-model evaluation for autonomous driving. You will translate driving-feature needs into measurable requirements, create scenarios, and build evaluators linking perception and map-fusion to vehicle behavior.

Collaborate across perception, mapping, planning, safety, and data teams to ensure robust evaluation and release readiness. The role emphasizes Python/SQL expertise, data-driven decision making, and creating scalable evaluation