Software Engineer Intern- Simulation

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We are seeking a software engineer intern with expertise in deep learning, statistical sampling, and vehicle behavior modeling. In this role, you will apply data-driven techniques to develop a robust framework for evaluating and verifying data-driven scenario generation methods for autonomous vehicle testing. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.

• Design and develop data-driven methods to generate realistic and challenging edge-case scenarios.
• Analyze the fidelity, diversity, and coverage of generated scenarios in comparison to actual driving data using statistical metrics, domain-specific criteria, and simulation-based verification. 
• Collaborate with cross-disciplinary teams to improve scenario generation algorithms, smart agent models, as well as traffic generation mechanism.

• Pursuing MS or PhD in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
• Strong understanding of domain randomization, probabilistic and statistical methods. 
• Experience with autonomous vehicle or robotics simulation and related concepts.
• Background in autonomous vehicle prediction, planning, control, and simulation tools.
• Excellent communication skills and the ability to collaborate effectively in a team setting.

• Experience in simulation fidelity verification and edge-case generation for autonomous vehicle testing.
• Familiarity with state-of-the-art deep learning models and their applications.

Your opportunities joining Plus

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.