Senior Software Engineer, Perception

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.

As software engineer for perception for self-driving trucks, you will work on developing cutting-edge software that takes data from a multitude of sensors such as cameras, radars and lidars, and converts them into actionable information for downstream components like prediction and planning.

Responsibilities:

• Design, develop, evaluate, and maintain real-time scene understanding algorithms.
• Evaluate system performance and find areas of improvement.
• Build infrastructure and evaluation tools to support experimentation and deployment of new features.
• Research state of the art techniques in robotics and self-driving technology.

Required Skills:

• MS in Robotics, Computer Science, Computer Engineering, or related fields.
• Extensive experience in modern C++ and Python.
• Experience in processing sensor data (LiDAR, radar, camera, etc.) and using vision libraries like OpenCV and PCL.
• Strong understanding of linear algebra and optimization techniques.
• Knowledge of filtering and state estimation methods (KF, EKF, UKF, etc.).Knowledge of camera models and multi-view geometry.
• Familiarity with localization and mapping for autonomous vehicles.

Preferred Skills:

• PhD in Robotics, Computer Science, Computer Engineering, or related fields.
• Familiarity with ML/DL.
• Experience building data processing and evaluation tools.
• Experience writing production level code.
• Experience with CUDA programming.

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.