Embedded Software Engineer

Embedded Software Engineer

European Tech Recruit are working closely with a leading semicon company, based in the county Cork area, who are looking for a talented Embedded Software Engineer to join their team.

Responsibilities as Embedded Software Engineer:

• Developing embedded software in C/C++, including the creation of system algorithms, conducting performance evaluations, code profiling, and optimization.
• Deploying neural networks on hardware accelerators using either internal or open-source libraries like TensorFlowMicro.
• Incorporating machine learning (ML) and digital signal processing (DSP) algorithms into the sensor software framework and performing both offline and real-time validation and testing.
• Interpreting system and system-on-chip (SoC) hardware requirements and converting them into software models and frameworks.
• Designing software frameworks and implementing modules across various processors such as CPUs, MCUs, and GPUs.
• Creating prototype reference platforms for mobile devices, smartwatches, hearables, and more.
• Collaborating with global teams across systems, hardware, and software domains

Requirements:

• The ideal candidate should possess a deep understanding of C/C++ and have experience with unit and system testing using frameworks such as Google Test.
• A solid understanding of system-on-chip (SoC) architecture is required.
• Experience in embedded or mobile programming, with a focus on optimizing algorithms for low power consumption and minimal memory usage. A strong grasp of concepts such as threads, memory management, registers, and real-time operating systems (RTOS) is essential.
• Proficiency in at least one interpreted language (Python, Perl, Ruby).
• Exceptional written, verbal, and presentation skills are necessary.
• The candidate should have strong analytical abilities and be capable of thriving in a dynamic, fast-paced team environment that spans multiple geographic locations.

Desirable experience:

• Proficiency in translating MATLAB algorithms into C code, including both floating-point and fixed-point implementations.
• Experience in modifying device drivers.
• Familiarity with peripherals such as I2C, I3C, and SPI.
• Experience working with version control systems like Git, Perforce, etc.
• Practical experience with machine learning frameworks such as PyTorch and TensorFlow.
• Experience in implementing fundamental machine learning algorithms like SVMs, neural networks, etc., in C.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to [email protected].

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