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Senior Software Engineer, Runtime - Santa Clara California
Company: Plus Location: Santa Clara, California
Posted On: 05/04/2024
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,,,,, 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.In this role you will be responsible for the design, development, and maintenance of Plus' autonomous onboard software infrastructure. You will work collaboratively with a diverse group of experts in areas such as computer vision, robotics, machine learning, embedded systems, mechatronics, and functional safety to develop a highly reliable runtime system with high data rate and stringent latency requirements, that powers our autonomous driving platform.Responsibilities - Develop and maintain the high performance C++ runtime engine that powers the entire autonomous driving software stack
- Work with other functional groups to design and implement new features and improve the performance of the existing features
- Continue to optimize system performance and scalability, enhance and expand the toolchain to support and facilitate system diagnostics and tuning, including but not limited to memory management, IPC, networking, GPU and other hardware accelerators
- Design robust architecture for reliability and availability of distributed embedded system with multimodal sensing supportIntegrate and explore advanced hardware features to support sophisticated deep learning modelsRequired Skills
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