Edge AI Engineer

Job Summary

To support innovative solutions in a remote environment, the full-time Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices, ensuring efficient operation across various hardware platforms.

Key Responsibilities

• Design and implement edge AI solutions optimized for mobile SoCs, NPUs, and embedded accelerators
• Apply model compression techniques such as quantization and pruning 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