Software Engineer

We believe people should love what they do in this role, you will be responsible for:

• Design, develop, train, and evaluate novel deep learning models for real-time computer vision applications
• Design and implement software of embedded devices and systems from requirements to prototype and customer deployment
• Design, develop, code, test, and debug system software
• Review code and design
• Analyze and enhance efficiency, stability, and scalability of system resources
• Assist in integrating and validating new product designs
• Support software QA and optimize performance
• Interface with hardware design and development
• Assess third party and open source software

Qualifications

• Bachelor's degree in Computer Science or Computer Engineering, with dedicated coursework in Artificial Intelligence and Computer Vision
• 5+ years practical experience in developing, optimizing performance and implementing predictive machine learning models within computer vision and video analytics domains
• Practical experience implementing CV ML models using deep learning inference engines such as OpenCV, TensorRT, TensorFlow/Keras/TensorFlow Lite, PyTorch, OpenVINO, and/or Qualcomm Neural Processing SDK
• Experience programming for real-time applications is highly desired
• Experience coding in C/C++ & Python
• Experience developing on Linux
• Experience working with Robot Operating System (ROS or ROS2)
• Relevant experience with software configuration management tools, defect tracking tools, and peer review
• Ability to work with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, protocol analyzers and emulators