Back to jobsBachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field, or equivalent practical experience
Significant hands on experience in AI, machine learning, and embedded software engineering (often acquired over many years of professional practice)
Strong software engineering skills, including experience writing production quality code and working with version control, testing, build systems, and software delivery pipelines
Experience with at least one major AI/ML framework (e.g., PyTorch, TensorFlow, JAX, ONNX) and the ability to learn additional frameworks as needed
Hands on experience deploying optimized ML models (e.g., quantization, pruning, distillation, operator fusion)
Experience with edge or on device ML, including awareness of constraints such as latency, power, memory, and thermal limits
Familiarity with CPU, GPU, NPU, and DSP architectures and their associated toolchains (e.g., Qualcomm Hexagon/QNN, MediaTek APU/NeuroPilot, ARM Ethos, Apple Neural Engine)
Experience in audio, video, signal processing, media codecs, or closely related technical domains
