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.
Responsibilities:
Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data
Benchmark and evaluate perception performance using quantitative metrics and testing methodologies
Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Required Skills:
Proficient in C/C++
Experience with multi-modal detection fusion and tracking algorithms
Strong understanding of computer vision and perception systems
Strong understanding of sensing with cameras, radars and lidars
Excellent problem-solving skills and attention to detail
Preferred Skills:
Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field
Experience with perception systems in autonomous vehicles or robotics
Hands-on experience deploying machine learning models into production environments
Proficiency in deep learning frameworks like TensorFlow or PyTorch
Experience with real-time systems, parallel computing, and optimization techniques
Strong knowledge of data structures, algorithms, and software design patterns
Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.
