Embedded Software Engineer

We are looking for a professional Embedded Software Engineer to design, develop, test, and maintain software for embedded systems and devices, ensuring efficient and reliable operation, often involving hardware-software integration and optimization for specific machine functionalities.

Responsibilities

Software Design and Development:

• The job is to create the Software for the Scientific Instruments, for control and report programs.
• Analyzing system requirements and translating them into software specifications.
• Designing, coding, testing, and debugging software for embedded systems.
• Developing algorithms and data structures to optimize performance and efficiency.
• Ensuring software meets performance, reliability, and security standards

Hardware-Software Integration:

• Collaborating with hardware engineers to integrate software with specific machine hardware.
• Understanding the interaction between software and hardware to optimize performance.
• Testing the integration of software and hardware to ensure functionality.

Testing and Debugging:

• Developing and executing test plans to ensure software quality and reliability.
• Identifying and resolving software bugs and issues.
• Performing performance testing and optimization to ensure efficient operation.

Documentation:

• Creating and maintaining clear and concise documentation for software and systems.
• Documenting software architecture, design, and implementation details.

Problem-Solving and Innovation:

• Identifying and solving complex technical problems related to embedded systems and software.
• Staying up to date with the latest technologies and trends in embedded systems and software development.
• Contributing to the improvement and innovation of machine software and systems.

AI Functionality:

• Analyze sensor data in real-time to identify patterns.
• Predict potential anomalies (e.g., leaks, clogs, irregular pressure drops).
• Recommend optimal pressure settings based on historical data and live readings.

AI Workflow Optimization:

• Streamline experimental processes by automatically adjusting pressure in response to trends.
• Reduce the need for manual intervention, enhancing efficiency.
• Continuous Improvement.

Utilize ongoing data logging to improve predictive accuracy using AI

• Adapt AI capabilities to specific materials or experiment types over time.
• Enhance system reliability and user-friendliness.
• Reduce researcher workload and provide valuable insights that may be overlooked in manual monitoring.

Requirements and skills

1. Proven working experience in software engineering
2. BS degree in Computer Science or Engineering
3. Experience in hands-on development and troubleshooting on embedded targets
4. Solid programming experience in Java, C and C++, along with familiarity with platforms like, Arduino IDE, Keil, MPLAB, Visual Studio.
5. Proven experience in embedded systems design with preemptive, multitasking real-time operating systems
6. Familiarity with software configuration management tools, defect tracking tools, and peer review
7. Excellent knowledge of OS coding techniques, IP protocols, interfaces and hardware subsystems
8. Adequate knowledge of reading schematics and data sheets for components
9. Strong documentation and writing skills