Software Engineer - Edge AI

<p>Role & Responsibilities / What you'll do :<br/><br/>- Design, develop and optimize embedded firmware based on RTOS or Bare-metal<br/><br/>- Hardware bring-up and software integration of embedded system<br/><br/>- Integration and testing of middleware components for Edge AI/Physical AI model integration, training and optimization <br/><br/>- Debug and troubleshoot issues at hardware integration, driver and system level, including issues with memory, performance, and muli-core (CPU/NPU)synchronization<br/><br/>- Work along with hardware, software and QA teams <br/><br/>- Participate in the team's software processes, including - requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements<br/><br/>- Stay updated with the industry trends and developments.<br/><br/>Required skills / Whom we are looking for:<br/><br/>- Bachelor's or Master's degree in related engineering field with 3 to 8 years of hands-on experience in embedded software development based on MCU/MPU <br/><br/>- Programming Language: Proficiency in C, intermediate to expert in C++.

<br/><br/>- Strong debugging and troubleshooting skills, including experience with tools like GDB, JTAG, and kernel debugging.<br/><br/>- Mandate experience of working with one of the MCU/MPU from Experience with bare-metal and real-time operating systems (RTOS) like, FreeRTOS, Zephyr, Thread-X, or similar.<br/><br/>- Good understanding and experience on various HW interfaces like UART, SPI, I2C, I2S, Ethernet, Wi-Fi, Bluetooth<br/><br/>- Strong understanding of Processor/SoC architecture (ARM CortexM4, M5 or RISC-V), memory management, interrupt handling, and low-level programming.<br/><br/>- Experience with version control systems such as Git or SVN.<br/><br/>- Excellent problem-solving skills with a focus on optimizing software for embedded hardware.<br/><br/>- Strong communication skills and the ability to work effectively in a collaborative, cross-functional team environment.<br/><br/>- Detail-oriented with a focus on delivering high-quality, reliable software.<br/><br/>- Self-motivated with a strong passion for embedded AI systems and technology.<br/><br/>Nice-to-haves :<br/><br/>- Familiarity with continuous integration and automated testing practices<br/><br/>- Customization of linker scripts and memory layout for embedded toolchains (GCC/IAR/ARM)<br/><br/>- ML frameworks such as TensorFlow Lite Micro or PyTorch for embedded systems<br/><br/>- Nice to have Python programming experience <br/><br/>Why join us :<br/><br/>- Opportunity to work on innovative projects with the latest Embedded & AI technologies<br/><br/>- Opportunities for accelerated career growth and professional development.

Engineer your future, we empower our employees to truly own their career and development.<br/><br/>- A collaborative and inclusive team culture<br/><br/>- Competitive compensation and benefits package</p> (ref:hirist.tech)