Embedded Software Engineer

Edge AI & Low-Power ML Engineer – Remote (Norway-based)

Remote from Norway | Embedded ML | Model Optimization | TinyML | Ultra-Low Power Design

Are you passionate about deploying intelligent systems at the edge? Our client is building a talent pool of engineers who can push the limits of real-time AI on constrained devices. Join a future-focused project where Edge AI meets embedded innovation.

What You’ll Work On

• Optimize and deploy machine learning models on microcontrollers and ultra-low-power chips.

• Implement end-to-end Edge AI pipelines—from data collection to inference.

• Collaborate with hardware and firmware teams to ensure tight integration and efficiency.

• Evaluate trade-offs in accuracy, latency, and power to deliver production-grade solutions.

What You Bring

• Experience with TensorFlow Lite Micro, ONNX, or similar frameworks for embedded AI.
• Strong grasp of ML model compression (quantization, pruning).
• Familiarity with MCUs (e.g., STM32, nRF52) or SoCs with integrated AI accelerators.
• Excellent Python and C/C++ skills.

Nice to Have

• Exposure to TinyML community projects.
• Knowledge of signal processing or sensor fusion.
• Deployment of models on real-time operating systems (RTOS).