Staff Engineer - ADAS Machine Learning

You will be part of Automotive System Performance Team in Bangalore that is responsible for hardware validation and optimizing the Machine Learning (ML) performance on Snapdragon Automotive and ADAS chipsets. Minimum Qualifications: 8 years of industry System and Software experience in the following: • Knowledge of Linux and/or QNX infrastructure and development tools, understanding of kernel vs user space, basic knowledge of compilers, running scripts, git source code control, Gerrit workflows • Hands-on experience debugging hardware, software and embedded systems. Additional skills in the following areas are preferred: • Hands-on experience running neural network models with Deep Learning frameworks such as SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch, etc Experience debugging and evaluating performance/accuracy a plus. Required: Bachelor's, Computer Engineering and/or Computer Science and/or related Preferred: Master's, Computer Engineering and/or Computer Science and/or related Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance.