Senior AI/ML C++ software engineer
On-siteLexington, South Carolina, United States
Job Summary
Design and develop real-time AI neural network solutions for transportation industry maintenance equipment, implementing appropriate ML algorithms and communication protocols. Write clean, documented code following best practices while generating requirements and design documentation. Plan, design, and deliver testing to move products into the QA process, applying problem-solving skills to resolve software issues related to system deployment and operation. Leverage big data tools to create prototypes, conduct model training and evaluations, and perform bench and onsite tests. Work independently and collaboratively on Linux platforms using C++ to optimize neural networks for edge devices like NVIDIA Jetson.
Required Qualifications
- Master's / Bachelor's degree in Software Engineering or similar experience
- 5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks
- 5+ years of experience in Software development using C++ & Linux embedded
- Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression
- Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV
- Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin
- Knowledge of the Linux Operating System
Desired Qualifications
- Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets
- Experience working with and creating data architectures
- Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
- Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application
- Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
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