Camera AI Engineer (IoT)
Core
Machine Learning Engineer supporting model onboarding and deployment for Qualcomm's China customers on Snapdragon platforms.
Role type
Senior IC machine learning engineer (model deployment & optimization)
Builds
Production-ready AI models (LLMs, generative AI, vision, audio, multimodal) on Qualcomm Snapdragon SoCs
Domain
Mobile computing / IoT / Embedded AI
Deliverable
production ML models
Required skills
Python, C/C++, deep learning architectures (CNNs, transformers, LLMs), model quantization (PTQ/QAT), graph optimization, hardware-aware tuning
Preferred skills
Qualcomm AI SDKs (QAIRT, Hexagon SDK), LLM/GenAI optimization (KV-cache, LoRA), on-device inference runtimes (Llama.cpp, LiteRT), AI coding agents
Technologies
Snapdragon SoCs, Hexagon NPU (HTP), Adreno GPU, QAIRT, PyTorch, TensorFlow, ONNX
Responsibilities
Analyze and adapt customer models for efficient execution on Qualcomm hardware; Quantize, convert, and compile models from common frameworks into Qualcomm runtime formats; Validate model inference via simulation and on device; Debug and fine-tune accuracy and performance; Collaborate with model, tool, and SDK teams; Participate in the Software Development Life Cycle
Seniority
Senior, hands-on IC
