Edge AI Engineer (Remote) - On-Device ML & Optimization

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Remote work

Job summary

Bright Vision Technologies in the United States is seeking an Embedded AI Engineer for a fully remote role. You will design, optimize, and deploy ML models to run on resource-constrained edge devices, including mobile platforms and embedded systems.

The ideal candidate has 6+ years of ML experience, strong Python and C++, and hands-on work with model compression, quantization, and edge inference frameworks.

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 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.

Responsibilities

• Design edge AI solutions for mobile SoCs, NPUs, and embedded accelerators.
• Apply quantization, pruning, distillation, and architectural optimization.
• Tune latency, energy, and memory on target hardware.
• Build cross-platform runtimes with TensorFlow Lite, ONNX Runtime, Core ML.
• Optimize models for accelerators including DSPs, NPUs, and mobile GPUs.
• Implement on-device model update and rollback workflows for large deployments.
• Design hybrid edge-cloud architectures that gracefully degrade with connectivity.
• Collaborate with hardware, firmware, and product teams.
• Ensure secure execution paths and model protection on edge devices.
• Develop benchmarking suites for accuracy, latency, and energy.
• Drive on-device privacy and bias evaluation.
• Maintain architecture diagrams, runbooks, and onboarding documentation.

Skills

Python

C++

Edge AI

Model compression

Quantization

Pruning

Performance engineering

Cross-functional collaboration

Education

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

Tools

TensorFlow Lite

ONNX Runtime

Core ML

Job description

Bright Vision Technologies in the United States is seeking an Embedded AI Engineer for a fully remote role. You will design, optimize, and deploy ML models to run on resource-constrained edge devices, including mobile platforms and embedded systems.

The ideal candidate has 6+ years of ML experience, strong Python and C++, and hands-on work with model compression, quantization, and edge inference frameworks.