Senior Verification Engineer, Safety Evaluation - Autonomous Vehicles

NVIDIA is seeking a senior verification engineer to verify that their software handles errors correctly and behaves safely across all operating conditions, enabling the next generation of safe, AI-powered autonomous driving systems. As part of a multi-functional team, you'll coordinate and develop novel safety assurance methodologies, including definition of safety metrics, data and simulation driven safety verification of the entire autonomous driving system.

Key responsibilities include:

• Defining safety verification plans and test cases across multiple integration levels and test platforms
• Collaborating with architecture/safety/design/verification teams for execution and prioritization
• Driving continuous improvement of methods, processes and tools for requirements- and data-driven safety evaluation of autonomous vehicles and ADAS
• Providing high-quality documentation and support for safety verification
• Presenting safety evaluation results to key stakeholders and management

Requirements:

• MS or higher in Computer Science, Robotics or equivalent experience
• 8+ years of relevant industry experience in verification
• Structured approach to system and software development
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills

Preferred qualifications:

• V&V of safety-critical systems
• Data science and statistics experience
• Programming skills in Python and C++
• Experience in Safety, systems engineering, Machine Learning or Robotics
• Knowledge of sensor technologies (e.g., radar, lidar, camera)
• Experience with System safety methodologies & practices (FMEA, FTA, STPA) and Safety standards (ISO 26262, IEC 61508, UL4600, ISO21448)

NVIDIA is known for its innovative work in Artificial Intelligence, High-Performance Computing, and Visualization. The company offers competitive compensation, including equity and benefits.