Senior Embedded Software Engineer

TinyML Engineer – Embedded AI for Edge Devices

Embedded Systems | Edge AI | Microcontrollers

Are you passionate about building intelligent systems that run on the edge?

We’re hiring a TinyML Engineer on behalf of our client, a cutting-edge tech company developing next-generation smart devices powered by embedded AI. In this role, you’ll join a collaborative remote team focused on deploying lightweight machine learning models on ultra-low-power microcontrollers.

What You’ll Do

• Design, optimize, and deploy ML models for embedded devices (e.g., STM32, nRF52, ESP32)
• Work closely with embedded firmware engineers to integrate models using frameworks like TensorFlow Lite for Microcontrollers, Edge Impulse, or CMSIS-NN
• Contribute to the end-to-end pipeline: from data collection and preprocessing to inference on constrained hardware
• Profile and debug memory, latency, and power consumption to ensure efficient model deployment

What We’re Looking For

• Strong experience with embedded C/C++, microcontroller development, and RTOS
• Hands-on experience with TinyML tools and techniques (e.g., model quantization, pruning, latency optimization)
• Experience with at least one ML framework (TensorFlow Lite Micro, PyTorch Mobile, etc.)
• Familiarity with sensors (audio, motion, vision) and signal processing
• Comfortable working in an agile, remote-first environment

Nice to Have

• Experience with Edge AI accelerators (e.g., Coral, Syntiant, Kneron)
• Background in DSP or low-power wireless communication
• Contributions to open-source TinyML projects