Embedded Systems Software Engineer

Embedded Systems Software Engineer

Job Overview

This role offers the opportunity to work with cutting-edge sensor technologies in smartphones, automotive, IoT, smartwatches, and other consumer electronics. The position spans the full product lifecycle, from early R&D to commercial deployment, collaborating with systems, software, and integration engineers.

Key Responsibilities

• Develop embedded software in C/C++, including system algorithms, performance testing, code profiling, and optimization.
• Embed neural networks on hardware accelerators using internal or open-source libraries (e.g., TensorFlowMicro).
• Integrate ML and DSP algorithms within the sensor software framework and perform validation/testing.
• Translate system and SoC hardware requirements into software models and frameworks.
• Architect software frameworks for various cores (CPU, MCU, GPU).
• Develop prototype reference platforms for mobile devices, wearables, and hearables.
• Collaborate with global hardware and software teams.
• Support diversity and inclusion within the team and company.

Minimum Qualifications

• Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ years of experience in software engineering.
• Strong proficiency in C/C++ with experience in unit and system testing (Google Test or similar).
• Understanding of SoC architecture, threads, memory management, registers, and RTOS.
• Experience in embedded/mobile programming with a focus on low-power and low-memory optimization.
• Proficiency in an interpreted language (Python, Perl, or Ruby).
• Strong analytical and communication skills with the ability to work in a fast-paced, global team.

Preferred Qualifications

• Master’s or PhD in a relevant field.
• Experience with MATLAB-to-C implementation (floating/fixed-point).
• Knowledge of device drivers and peripherals (I2C, I3C, SPI).
• Familiarity with version control systems (Git, Perforce).
• Hands-on experience with ML frameworks (PyTorch, TensorFlow).
• Implementation of machine learning algorithms (SVMs, neural networks) in C.

Key Skills

C, C++, Python, DSP, MATLAB, Machine Learning, Accelerometer, Gyroscope, IMU, Embedded Systems, Medical Sensors, PyTorch.

I can also be contacted at [email protected], to provide full details, arrange an application, or answer any questions you might have.

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