Senior Machine Learning Engineer, Simulation
Santa Clara, CAFull-TimeSeniorAI / Data Science
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 3+ years of relevant experience) or PhD new grad 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.
- Proficient in Python 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.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
- Proficient in C++
- Background in autonomous vehicle prediction, planning, and control
- Strong understanding of conventional vehicle dynamics modeling
- Experience with autonomous vehicle or robotics simulation and related concepts
