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.
ResponsibilitiesWork with end-to-end system engineers to help design high performance and high availability distributed systemsApply cutting-edge computational geometry, image processing, computer vision and machine learning to tackle the long tail of real-world situationsBuild machine learning models to detect/classify objects, and integrate the ML components into the production perception pipelineRequired SkillsExperience in implementing robust, safety-critical code, efficient in Python or C++ Currently pursuing MS or PhD in CS, EE, or related fieldDeep understanding of machine learning principles and methodologiesExperience applying and tuning deep neural networks in large-scale, data-driven applicationsStrong familiarity with state-of-the-art machine learning tools, computational geometry, image processing, and computer vision features and techniquesPreferred SkillsPast experiences in motion tracking, semantic segmentation, object recognition and/or roboticsExperience working with autonomous vehicles
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.