AI/ML C++ Software Developer

3 weeks ago


Lexington, South Carolina, United States MLS Technologies Full time

Job Description

We are seeking a highly skilled AI/ML C++ Software Developer to join our team at MLS Technologies. As a Senior Embedded Controls and AI Engineer, you will design and develop real-time AI solutions for the transportation industry using C++ and Linux platforms.

Responsibilities

  • Design and develop real-time AI solutions for the transportation industry maintenance equipment.
  • Implement appropriate ML algorithms.
  • Write clean, documented code following best practices.
  • Develop and implement communication protocols.
  • Work independently and collaboratively with a motivated team.
  • Generate requirements and design documentation.
  • Plan for, design, and deliver testing, and tested products into the QA process.
  • Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.

Requirements

  • Master's / Bachelor's degree in Software Engineering or similar experience.
  • 5+ years of experience in developing CNN, R-CNN type neural networks 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 frameworks 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.

Preferred Experience

  • 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).

Salary Range: $120,000 - $180,000 per year.



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