Senior Software Engineer, Perception (C/C++)

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.

• 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

• 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

• 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 Plus

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

Wide range of opportunities for personal and professional development.