Job Description: Software Engineers (C programming language) - AI Fintech

Location: Singapore

Position Overview:

We are seeking a skilled and motivated Software Engineers with strong background in embedded systems development and a passion for AI technologies. You will be responsible for designing, developing, and optimizing embedded software solutions to support an innovative AI banking products and services.

Responsibilities:

Embedded Software Development:

• Design, develop, and maintain software for AI banking solutions.
• Write efficient, reliable, and scalable code for embedded systems.
• Ensure high performance, reliability, and security of embedded applications.

Integration and Testing:

• Integrate embedded software components and other system modules.
• Develop and execute unit and integration tests to ensure software quality.
• Troubleshoot and resolve issues in development, test, and production environments.

AI and Machine Learning:

• Collaborate with AI and machine learning teams to integrate AI algorithms into embedded systems.
• Optimize AI models and algorithms for real-time embedded processing.

System Architecture:

• Contribute to the design and architecture of embedded systems, ensuring they meet performance and scalability requirements.
• Participate in code and design reviews to maintain high standards of software quality.

Collaboration and Documentation:

• Work closely with cross-functional teams, including hardware engineers, AI researchers, and product managers, to deliver comprehensive solutions.
• Document software design, implementation, and testing processes clearly and accurately.

Continuous Improvement:

• Stay updated with the latest developments in embedded systems, AI, and related technologies.
• Identify areas for improvement and implement best practices to enhance system performance and reliability.

Requirements:

Education and Experience:

• Bachelor’s or Master’s degree in Computer Engineering.
• 4+ years of experience in software development (C programming language or embedded).

Technical Skills:

• Proficiency in programming language such as C.
• Strong knowledge of embedded systems architecture and real-time operating systems (RTOS).
• Experience with microcontrollers, ARM processors, and other embedded hardware platforms.
• Familiarity with AI and machine learning frameworks and tools.
• Experience with communication protocols (e.g., I2C, SPI, UART) and interfacing with hardware components.
• Proficiency in using debugging tools and techniques for embedded systems.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple tasks effectively.

Preferred Qualifications:

• Knowledge in AI and machine learning integration in embedded systems.
• Knowledge of security practices and standards for embedded systems.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.