Senior Machine Learning Engineer, Simulation, Santa Clara

We are seeking a Senior Machine Learning Engineer with expertise in deep learning, data analysis, and vehicle dynamics modeling.
In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms.
You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
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.
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.
Preferred Skills
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.
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