Overview
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United State
Full job description
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. 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.
Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack. Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mind Integrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform. Design and develop fault detection and fault handling strategies for redundant on-vehicle platform. Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing. Evaluate, integrate and optimize partner middleware into our AD stackOwns or help with driverless operation key features, like mission control, tele assist, etc. Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements.
Minimum 2+ years of professional experience MS or PhD in Computer Science or related field Strong programming skills in C++ and Python Basic understanding of computer vision and deep learning models Hands-on experience of high performance IPC / middleware stack Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model) Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models. Ability to quickly learn and adapt to new technology Ability to work on large code bases and a fast growing environment Strong communication skills Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc. Comfortable with On-vehicle troubleshooting and performance profiling
Experience with CV pipeline and model inference on edge platforms Experience with ROS2 and DDS Experience with automotive HPC SoCs (Nvidia preferred) Experience with QNX
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