Embedded Engr I

Main responsibility for this position is to develop embedded software for Building Management systems comprised of controllers and peripheral devices requiring expertise in various technologies like Embedded C, C++ programming, RTOS, Rhapsody and Linux system programming.

MUST HAVE:

• Master degree in engineering with specialization in electronics or computer science.
• Scaled Agile based product development with globally distributed teams.
• Good experience in embedded software design & development.
• Understanding of open source components, CI&CD pipeline
• Work experience to write Unit test cases and understanding of test automation
• Understanding of dev tool chains like GitHub, Jira, Bit Bucket, Build servers, Sonar Qube, etc..
• Good communication, problem solving & presentation skills.
• Fluent in spoken and written English.

WE VALUE:

• Exposure to software product development life cycle and Agile methodologies would be preferred.
• Industry standard Tools chain for development
• Jira, Visual Studio, Bamboo, Artifactory, etc.
• Working experience in product portfolio related Fire, security, Automation.
• Scaled Agile SAFE Certification
• Understanding of cloud technologies and IoT
• Experience on requirement-management, Experience on cross site development.

Specific Tasks Include:

• Develop embedded firmware for unitary and plant controllers with adherence to cybersecurity.
• Embedded firmware development using C, C++ and Shell Scripting.
• Knowledge of RTOS (FreeRTOS, Linux etc), Microcontrollers, Memory Handling (Like EEPROM R/W, FLASH R/W, SD Card), RTC, Watch Dog, IO, ADC and Communications (like SPI, I2C, UART, RS232, RS485, USB, Ethernet, TCP/IP, Bacnet).
• Firmware issue debugging using gdb, JTAG, valgrind etc.
• Experience/Understanding of Linux kernel, Linux internals, Virtual memory.
• Effort estimation and contribution to program increment planning.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Visual Studio Intelli Code, code-generation tools) to enhance productivity.
• Understanding of AI-powered code analysis, refactoring, and optimization recommendations.