jobs in MAKER-RAY TECHNOLOGY

全职 R-D C-- Software Engineer 工作, 薪水, MAKER-RAY TECHNOLOGY Pulau Pinang 公司招聘中 - Ricebowl

R-D C-- Software Engineer

MAKER-RAY TECHNOLOGY

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工作地点

  • Pulau Pinang Malaysia

职位描述

岗位职责

Company Description MAKER-RAY TECHNOLOGY is dedicated to the mission of making industrial inspection easier by applying deep learning algorithms at the core of its solutions. The company focuses on the electronics industry and delivers advanced optical inspection technologies to help customers improve accuracy, efficiency, and automation in their manufacturing processes. By combining cutting-edge AI with domain expertise, MAKER-RAY develops systems that reduce manual inspection workloads and enhance quality control. Team members collaborate closely with industry partners, enabling continuous innovation and practical impact in real-world production environments.
Role Description The R&D C++ Software Engineer is a full-time, on-site position based in Penang, Malaysia. In this role, the engineer designs, implements, and optimizes C++ software components that power deep learning–based optical inspection solutions for the electronics industry. Day-to-day responsibilities include developing and maintaining core algorithms, collaborating with research teams to translate prototypes into robust production code, and performing code reviews, debugging, and performance tuning. The engineer works closely with cross-functional teams to integrate software modules into system architectures, ensure reliability and scalability, and contribute to technical documentation and continuous improvement of development practices.
Qualifications
  • Strong foundation in Computer Science and Software Development, with proficiency in C++ and modern software engineering practices.
  • Experience in Research and Development (R&D) and Research, including the ability to explore new approaches, validate concepts, and apply findings to practical solutions.
  • Skills in Software Design, including architecture, modularization, and understanding of design patterns for high-performance, maintainable systems.
  • Familiarity with deep learning, computer vision, or related AI domains is highly beneficial, especially in industrial or manufacturing contexts.
  • Knowledge of version control systems (e.g., Git), collaborative development workflows, and debugging and profiling tools.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical/Electronic Engineering, or a related technical field.
  • Ability to work collaboratively in an on-site team environment, communicate clearly, and manage tasks in a fast-paced R&D setting.
  • Experience with Linux development environments, build systems (e.g., CMake), and real-time or embedded systems is an advantage.

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