Deep learning Engineer
Core
Optimizing and deploying state-of-the-art deep learning models for low-latency, low-power edge inference on embedded and resource-constrained devices.
Role type
Deep Learning Engineer (Edge AI)
Builds
Efficient production-ready ML systems for mobile, robotics, IoT, automotive, and smart devices
Domain
Semiconductor / Edge AI / Embedded Systems
Deliverable
production ML models
Required skills
Deep learning, Computer Vision, PyTorch, Python, C/C++, Neural network low-level implementation, Model compression (Pruning, Quantization), Linux-based development, CI/CD
Preferred skills
None stated
Technologies
PyTorch, Python, C/C++, Linux, GitHub
Responsibilities
Optimize deep learning models for low-latency, low-power environments; Convert large-scale models into efficient production-ready systems; Collaborate with ML researchers, embedded engineers, and platform teams
Seniority
Mid-level (3+ years experience)
