Senior Edge AI Engineer - Remote, On-Device ML

Bright Vision Technologies; Framingham (MA); On-site; USD 100,000 - 155,000; Full time

Job summary

Bright Vision Technologies is seeking an Edge AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile and embedded platforms. The role emphasizes hardware-aware optimization, model compression, quantization, and robust edge runtimes, with production deployments on resource-constrained devices across the U.S.

You will collaborate with hardware, firmware, and product teams to ensure secure execution and privacy-conscious design while maintaining performance and

Qualifications

• Bachelor's or master's degree in CS/CE or related field.
• 6+ years of ML engineering experience 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.
• 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 and implement edge AI solutions for diverse hardware including mobile SoCs, NPUs, and embedded accelerators.
• Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints.
• Tune model performance for latency, energy efficiency, and memory footprint on target hardware.
• Build cross-platform inference runtimes with TensorFlow Lite, ONNX Runtime, and Core ML.
• Optimize models for DSPs, NPUs, and mobile GPUs.
• Implement on-device updates, versioning, and rollback workflows for safe staged rollouts.
• Design hybrid edge-cloud architectures that degrade gracefully with connectivity and device capability.
• Build telemetry pipelines that respect privacy while enabling continuous improvement.
• Collaborate with hardware, firmware, and product teams to align AI with device constraints.
• Implement secure execution paths, model protection, and integrity verification on edge devices.
• Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs.
• Drive responsible AI considerations including on-device privacy and bias evaluation.
• Maintain comprehensive documentation and runbooks for onboarding and support.
• Stay current with edge AI developments and translate advances into concrete proposals.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference frameworks

Performance profiling

Embedded hardware

On-device privacy

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 is seeking an Edge AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile and embedded platforms. The role emphasizes hardware-aware optimization, model compression, quantization, and robust edge runtimes, with production deployments on resource-constrained devices across the U.S.

You will collaborate with hardware, firmware, and product teams to ensure secure execution and privacy-conscious design while maintaining performance and