Senior Machine Learning Engineer, Vehicle Modeling and Simulation

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
• Integrate the data-driven models into simulation pipelines with seamless compatibility.
• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
• Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
• Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.

Required Skills:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
• Extensive experience applying deep learning techniques to time series forecasting and data analysis.
• Strong understanding of conventional vehicle dynamics modeling.
• Proficient in Python and C++, with experience working in large codebases.
• Excellent communication skills and the ability to collaborate effectively in a team setting.
• Familiarity with state-of-the-art deep learning models and their applications.
• Experience with autonomous vehicle or robotics simulation and related concepts.
• Background in autonomous vehicle prediction, planning, and control.
• Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.