Senior Intelligent Edge AI Engineer (Remote)

Bright Vision Technologies; United States; Remote; USD 135,000 - 155,000; Full time

Job summary

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy ML models on resource-constrained edge devices, including mobile platforms and embedded systems.

You will work with Python and C++, pursuing model compression, quantization, and hardware-aware optimization, and ship AI capabilities outside the data center with production edge deployments across the U.S. This is a remote, full-time role that requires strong collaboration across teams.

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 edge devices.
• Collaborate across teams to ensure reliable edge AI capabilities.
• Ship production-grade AI features for mobile/embedded platforms.

Skills

Python

C++

Edge AI

Edge deployment

Performance profiling

Cross-functional collaboration

Security considerations

Education

Bachelor's degree in CS/CE

Tools

Edge inference framework

NPU/DSP toolchains

Job description

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy ML models on resource-constrained edge devices, including mobile platforms and embedded systems.

You will work with Python and C++, pursuing model compression, quantization, and hardware-aware optimization, and ship AI capabilities outside the data center with production edge deployments across the U.S. This is a remote, full-time role that requires strong collaboration across teams.