NVIDIA

Compensation

Full Description

Job Description: • Conduct safety analysis and establish safety concepts to support ongoing and secure software releases • Collaborate with software developers and AI engineers to ensure safety concepts are implemented and evaluated effectively • Analyze fleet data, test, and simulation results, providing timely feedback to developers to continuously improve safety • Help refine processes and tools for analysis and data-driven safety evaluation • Present safety concepts and safety evaluation results to key collaborators and management to reduce risks to the project Requirements: • MS or higher in Computer Science, Robotics, or equivalent experience • 8+ years of relevant industry experience • A structured approach to systems and software development • Excellent analytical and problem-solving skills • Strong written and verbal communication skills • Expertise in ADAS or autonomous vehicle systems or Machine Learning or Robotics • Proficiency in V&V of safety-critical systems • Knowledge of data science and statistics • Familiarity with sensor technologies, e.g., radar, lidar, camera • Understanding of reliability theory • Experience with system safety methodologies & practices (FMEA, FTA, STPA, etc.) and knowledge of safety standards (ISO 26262, IEC 61508, UL 4600, ISO 21448, ISO 8800, etc.) Benefits: • equity • benefits