Software Engineer [Open to non-experienced]

Salary: S$ 4,000 - 6,200 (Basic) + AWS + VB

[Job ID: 1701578]
Job Summary:
Join a technology-driven engineering team to develop high-performance C++ software solutions that enhance automation, control systems, and manufacturing efficiency within advanced equipment environments.

Responsibilities:

• Design, develop, and maintain software applications for equipment control, motion control, data acquisition, and process automation.
• Collaborate with hardware, electrical, and mechanical engineering teams to integrate software with precision equipment and electronic systems.
• Develop and enhance real-time and embedded software solutions for high-speed, high-precision applications.
• Conduct software testing, troubleshooting, debugging, and performance optimization to ensure system reliability and efficiency.
• Implement and support artificial intelligence, machine learning, and computer vision solutions to improve manufacturing processes where applicable.
• Ensure software compliance with industry standards, cybersecurity requirements, and data integrity protocols.
• Drive continuous improvement initiatives focused on software scalability, maintainability, and system performance.
• Prepare and maintain technical documentation, and provide training and technical support to internal stakeholders.
• Adhere to workplace safety, quality, and regulatory requirements.

Requirements:

• Degree or higher qualification in Computer Science, Software Engineering, Electrical Engineering, or a related discipline from a recognized institution.
• Experience in software development, preferably within the semiconductor, industrial automation, or manufacturing sectors.
• Proficiency in C++ development for embedded systems, automation solutions, or user interface applications.
• Knowledge of real-time systems, equipment control, and software integration with hardware components.
• Familiarity with software testing, debugging, troubleshooting, and performance optimization methodologies.
• Understanding of data analytics, artificial intelligence (AI), machine learning (ML), or computer vision technologies is an added advantage.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Ability to work effectively in a cross-functional engineering environment.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

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EA Personnel Name: Zoe Lang Zhen Zhen
EA Personnel Registration Number: R23117353
EA License No.: 07C5771

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