Remote Edge AI Engineer – Production‑Ready

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

Job summary

Bright Vision Technologies is seeking an Edge Computing AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile platforms and embedded systems. The role emphasizes hardware-aware optimization and model compression to meet resource constraints.

The ideal candidate has 6+ years of ML engineering experience, strong Python and C++, and practical experience with edge inference frameworks. Remote work within the U.S. is offered, with direct W2 employment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• Six or more years of experience in ML engineering, with edge or mobile AI experience.
• Strong Python and C++ proficiency.
• Hands-on 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.
• Research and implement model compression and quantization strategies.
• Tune performance for mobile and embedded hardware architectures.
• Collaborate with cross-functional teams to ship edge AI features.
• Ensure on-device privacy and security considerations are met.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference frameworks

Performance profiling

On-device privacy

Cross-functional collaboration

Communication

Education

Bachelor’s or Master’s degree in CS/CE

Tools

TensorFlow Lite

ONNX Runtime

Job description

Bright Vision Technologies is seeking an Edge Computing AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile platforms and embedded systems. The role emphasizes hardware-aware optimization and model compression to meet resource constraints.

The ideal candidate has 6+ years of ML engineering experience, strong Python and C++, and practical experience with edge inference frameworks. Remote work within the U.S. is offered, with direct W2 employment.