Senior Machine Learning Engineer (Simulation)

• 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
• 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

Benefits

• Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
• Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
• Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
• Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
• Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
• Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices

• We are seeking a Senior Software Engineer with expertise in deep learning, data analysis, and vehicle dynamics modeling
• MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field
• Excellent communication skills and the ability to collaborate effectively in a team setting
• Extensive experience applying deep learning techniques to time series forecasting and data analysis
• Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
• Proficient in Python with experience working in large codebases
• Familiarity with state-of-the-art deep learning models and their applications
• 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