Embedded System Engineer

Job Title: IoT / Embedded Systems Engineer (Audio Processing Specialist)

Experience: 3+ Years

Location: Remote

About the Role

We are seeking a hands-on IoT / Embedded Systems Engineer with a strong background in audio processing and embedded Linux development. You’ll work closely with cross-functional teams—hardware, cloud, and mobile—to design, build, and optimize firmware and embedded software for next-generation IoT devices.

This is a remote position for candidates who thrive in a collaborative, fast-paced environment and are passionate about bringing intelligent, secure, and reliable embedded systems to life.

Key Responsibilities

• Collaborate with tech teams to resolve technical support issues, implement enhancements, and improve system performance.
• Test, debug, and validate embedded products and services as part of ongoing product support.
• Participate in product discussions with hardware, server-side, and mobile developers to ensure seamless integration.
• Design, develop, and test efficient, high-quality embedded code using modern frameworks and defensive programming techniques.
• Ensure robust and secure communication with sensors and medical devices via Bluetooth Low Energy (BLE), Zigbee, and other wireless protocols.
• Implement defensive programming techniques for reliability, especially for use cases involving elderly users.
• Harden firmware for maximum protection against tampering and unauthorized access.
• Collaborate on future hardware and firmware iterations.
• Develop, integrate, and test new product features, APIs, and data services (e.g., MiiCube platform).
• Apply user feedback to continuously improve product features and performance.

Required Qualifications

• 3+ years of professional experience in embedded systems or IoT product development.
• Proficiency in Embedded Linux (e.g., Raspberry Pi, NVIDIA Jetson, or similar hardware platforms).
• Strong programming skills in Rust, Python, or C/C++ within an embedded software context.
• Experience with Audio Signal Processing and related DSP techniques.
• Familiarity with embedded AI optimizations using frameworks such as TensorFlow, PyTorch, or ONNX.
• Experience with Bluetooth Low Energy (BLE), Zigbee, and network interfacing.
• Hands-on experience with serial communication and network-level debugging.
• Solid understanding of Linux kernel functions and low-level device interactions.
• Experience working with REST APIs, WebSockets, and streaming endpoints.
• Knowledge of secure firmware and device data protection best practices.
• Comfort with sensor data parsing and transport protocols.
• Strong debugging, benchmarking, and optimization skills.
• Proficiency with Git or other version control systems.
• Ability to collaborate in a cross-functional, distributed team.

Preferred Skills

• Experience developing for medical or health-tech IoT devices.
• Working knowledge of Microsoft Azure IoT ecosystem (IoT Hub, Edge, etc.).
• Familiarity with Defensive Programming patterns and techniques.
• Basic understanding of hardware electronics to aid firmware debugging and optimization.