Overview

Location: Hyderabad, Bangalore

Responsibilities

• Design, develop and optimize embedded firmware based on RTOS or Bare-metal
• Hardware bring-up and software integration of embedded system
• Integration and testing of middleware components for Edge AI/Physical AI model integration, training and optimization
• Debug and troubleshoot issues at hardware integration, driver and system level, including issues with memory, performance, and muli-core (CPU/NPU)synchronization
• Work along with hardware, software and QA teams
• 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
• Stay updated with the industry trends and developments.

Qualifications

• Location: Hyderabad, Bangalore
• 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
• Programming Language: Proficiency in C, intermediate to expert in C++.
• Strong debugging and troubleshooting skills, including experience with tools like GDB, JTAG, and kernel debugging.
• Mandate experience of working with one of the MCU/MPU from STMicroelectronics/NXP/Renesas
• Experience with bare-metal and real-time operating systems (RTOS) like, FreeRTOS, Zephyr, Thread-X, or similar.
• Good understanding and experience on various HW interfaces like UART, SPI, I2C, I2S, Ethernet, Wi-Fi, Bluetooth
• Strong understanding of Processor/SoC architecture (ARM CortexM4, M5 or RISC-V), memory management, interrupt handling, and low-level programming.
• Experience with version control systems such as Git or SVN.
• Excellent problem-solving skills with a focus on optimizing software for embedded hardware.
• Strong communication skills and the ability to work effectively in a collaborative, cross-functional team environment.
• Detail-oriented with a focus on delivering high-quality, reliable software.
• Self-motivated with a strong passion for embedded AI systems and technology.

Nice to have

• Familiarity with continuous integration and automated testing practices
• Customization of linker scripts and memory layout for embedded toolchains (GCC/IAR/ARM)
• ML frameworks such as TensorFlow Lite Micro or PyTorch for embedded systems
• Nice to have Python programming experience
• Opportunity to work on innovative projects with the latest Embedded & AI technologies
• Opportunities for accelerated career growth and professional development. Engineer your future, we empower our employees to truly own their career and development.
• A collaborative and inclusive team culture
• Competitive compensation and benefits package