Software Engineer - Edge AI
NXP SemiconductorsHyderabad8 days ago
Job descriptionBachelor'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 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. 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
Role & Responsibilities / What you'll do :
- 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.
Required skills / Whom we are looking for :
Nice-to-haves :
Why join us :
(ref : hirist.tech)
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