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Embedded Software Engineer

2 weeks ago

Singapore Cygnify Pte Ltd Full time

R- Posted by
- Ren Kelsey- Recruiter We are seeking a highly skilled and motivated Embedded Software Engineer 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 embedded software for AI banking solutions.
- Write efficient, reliable, and scalable code for embedded systems.

Integration and Testing:

- Integrate embedded software with hardware 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, Electrical Engineering, or a related field.
- 3+ years of experience in embedded software development, preferably within the financial technology or AI industry.

Technical Skills:

- Proficiency in C programming language.
- 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:

- Experience with 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.

Job ID L4Y68VXV