Systems Engineer, World Model Evaluation – Autonomous Vehicles
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is looking for an experienced systems engineer to join the autonomous-driving systems engineering team and advance world-model evaluation capabilities, connecting perception and map-fusion performance to driving behavior and safety.
You will help develop requirements, metrics, and evaluations that uncover gaps and guide engineering improvements.
You will collaborate with perception, mapping, planning, safety, and infrastructure teams to turn real-world failures into reliable evidence for development and release decisions.
As an NVIDIAN, you will be immersed in a diverse, supportive environment where you can make a lasting impact on the world.
Key responsibilities
- Work with us to 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 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 turn results into decisions through evaluation tools and dashboards that guide improvements and demonstrate release readiness.
Qualifications
- MS or PhD in engineering, computer science, physics, data science, or a 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.
- Proficiency with SQL and Python or C++.
Nice to have
- Experience evaluating perception, mapping, or planning systems in autonomous vehicles, machine learning, or computer vision contexts.
- Strong data science and analytics background, with experience building data-driven dashboards with web interfaces, backend APIs, and evaluation visualizations.
- Experience developing and validating evaluation tooling and reproducible workflows, including orchestration frameworks such as Temporal and validation methods for outputs from VLMs, LLMs, or agentic triage pipelines.
- Familiarity with automotive functional safety concepts, including fault-tree analysis and failure-rate allocation.
- Software engineering proficiency in C++ and automated testing.
Benefits
- Base salary range of 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- Equity eligibility.
- Comprehensive benefits package.
Job details
- Location: United States
Application Deadline
October 30, 2026
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Today, the company is tapping into the unlimited potential of AI to define the next era of computing, building GPUs that act as the brains of computers, robots, and self-driving cars.
Additional information
- Base salary is determined based on location, experience, and the pay of employees in similar positions.
- Applications will be accepted at least until October 30, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
