Remote Edge AI Engineer - Model Compression & Deployment

Bright Vision Technologies; Yuba City (CA); Remote; USD 100,000 - 105,000; Full time

Job summary

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an Edge Computing AI Engineer to design, optimize, and deploy ML models on resource-constrained edge devices, including mobile platforms and embedded systems.

The role emphasizes hardware-aware optimization, model compression, quantization, and production deployment, with ideal candidates having shipped edge AI in

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, with significant work on edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, and pruning techniques.
• Experience with at least one major edge inference framework.
• Solid understanding of mobile and embedded hardware architectures.
• Experience deploying ML models to production on mobile or embedded platforms.
• Strong performance engineering and profiling skills.
• Familiarity with on-device privacy and security considerations.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Design, optimize, and deploy machine learning models that run on resource-constrained edge devices.
• Collaborate with hardware teams to ensure hardware-aware optimization.
• Ship edge AI capabilities with reliable performance in production environments.

Skills

Python

C++

Edge ML

Model compression

Quantization

Pruning

Hardware-aware optimization

Production deployment

Profiling

Communication

Education

Bachelor’s or Master’s degree in Computer Science / Computer Engineering

Tools

Edge inference framework

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are seeking an Edge Computing AI Engineer to design, optimize, and deploy ML models on resource-constrained edge devices, including mobile platforms and embedded systems.

The role emphasizes hardware-aware optimization, model compression, quantization, and production deployment, with ideal candidates having shipped edge AI in