Edge AI Engineer

Job Summary

To support innovative solutions in a fully remote environment, the full-time Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices, focusing on model compression and hardware-aware optimization.

Key Responsibilities

• Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs and embedded accelerators
• Apply quantization, pruning, and architectural optimization to fit models within edge constraints
• Collaborate with cross-functional teams to align AI capabilities with device constraints and ensure secure execution paths

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
• Six or more years of experience in ML engineering, particularly with edge or mobile AI
• Strong proficiency in Python and C++
• Hands-on experience with model compression, quantization, and pruning techniques
• Experience deploying ML models to production on mobile or embedded platforms