Edge AI Engineer - Remote, Production ML on Devices

Bright Vision Technologies; Flower Mound (TX); On-site; USD 135,000 - 155,000; Full time

Job summary

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy machine learning models for edge devices, mobile platforms, and embedded systems. This role emphasizes hardware-aware optimization, model compression, quantization, and production deployment outside the data center.

The ideal candidate has deep systems engineering experience, ships edge AI in production, and collaborates across teams to balance compute, memory, energy, and connectivity constraints.

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 ML models for resource-constrained edge devices.
• Address compute, memory, energy, and connectivity trade-offs in edge deployments.
• Ship reliable AI capabilities outside the data center through robust engineering practices.
• Collaborate with cross-functional teams to align performance and privacy requirements.

Skills

Python

C++

ML engineering

Edge AI

Model compression

Quantization

Pruning

Production deployment

Performance profiling

On-device privacy

Cross-functional communication

Education

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field

Tools

TensorFlow Lite

ONNX Runtime

Job description

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy machine learning models for edge devices, mobile platforms, and embedded systems. This role emphasizes hardware-aware optimization, model compression, quantization, and production deployment outside the data center.

The ideal candidate has deep systems engineering experience, ships edge AI in production, and collaborates across teams to balance compute, memory, energy, and connectivity constraints.