ThunderSoft SmartVehicle AI-Team is looking for Lead machine learning engineer, working together on autonomous driving applications. ThunderSoft is a world leading smart platform technology provider. Headquartered in Beijing, ThunderSoft operates 26+ R&D centers and offices globally.

— Bachelor/Master degree in Engineering, Information Systems, Computer Science, EE.
— 5+ Years Machine Learning/AI engineering work experience, prefer AI SW development (inference or training) in or for ADAS/Auto/Computer Vision areas.
— Hands-on experience running ML toolkits such Caffe/Caffe2, PyTorch, and TensorFlow with solid knowledge
of machine learning concepts, algorithms, and architectures, including CNNs, major CV deep learning models, experience on ML model performance evaluation, benchmark, etc.
— Development experience with C++, Python
— Experience developing software solutions which run in Linux environments including containers and virtual machines.
— Good English communication (written and verbal) and positive interpersonal skills.

Will be a plus
— Experience in leading, mentoring, conducting interviews
— Preferred if having solid knowledge on ML software stack and compiler concepts including graph processing and intermediate representations, a plus experience with converting AI model in different NN model formats, a plus experience with profiling and optimizing software for CPUs and/or GPU applications.
— Experience with automatic drive, L2 and above ADAS application development is a big plus.

We offer
— Fresh set up in Ukraine. At the moment there is a small initial team at Kyiv office;
— Business trips to Beijin
— Great prospects of self-development, challengeable position, big room of promotion;
— Engineering culture, attach high importance technical buildup and engineering development;
— Global opportunity, any position in another country is applicable if you have competence;
— Fast growth, 8000+ staff worldwide.

— Bulding processes and pipeline from scratch in cooperation with foreign colleagues
— Managing, mentoring team members. Participating in admission
— Co-work with platform customers to support ADAS applications,
— Apply issue analysis skills to narrow down problem area and communication with internal teams to report bugs, customer status, business progress, etc.
— AI model converting, quantization, compression and execution. Machine learning frameworks related include TensorFlow, Pytorch, ONNX and others.
— Use a background in deep learning, performance testing and analysis, understanding of accelerator architectures and a passion to drive world-class solutions.

About Thundersoft

ThunderSoft is a provider of operating system technologies, superior products and solutions, experts in mobile, IoT, automotive, and enterprise.

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