Software Engineer: System Performance for Adverse Weather Adaption

Responsibilities

• Monitor, analyze, and optimize the performance of autonomous driving systems under adverse weather conditions.
• Design and run simulations and real-world tests to evaluate system performance under various adverse weather scenarios.
• Develop and refine algorithms or machine learning models to enforce weather-specific restricted Operational Design Domains (ODD).
• Work closely with autonomous driving systems, system engineering, and data science teams to integrate weather-related degrading profiles and optimize the overall system performance.

Qualifications

• Master’s or PhD in machine learning, computer science, robotics, or a related field.
• Experience with sensor fusion and perception for autonomous vehicles or robotics.
• Experience or a strong interest in developing solutions for adverse weather scenarios, such as heavy rain, snow, or fog.
• Excellent communication, strong analytical thinking, and problem-solving skills.

Preferences

• Experience with autonomous vehicle technology or robotics.
• Experience in software engineering for simulation and evaluation.
• Experience with machine learning and deep learning.