Remote Edge AI Engineer - On-Device ML Expert

Bright Vision Technologies; Edison (NJ); Remote; USD 100,000 - 155,000; Full time

Benefits offered by this job

100% Remote (U.S.)

Job summary

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

The ideal candidate has 8+ years of ML engineering experience, strong Python and C++ skills, and hands-on work with edge frameworks.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Eight or more 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 optimized 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 leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML.
• Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs.
• Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field.
• Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability.
• Build telemetry pipelines that respect privacy while enabling continuous improvement.
• Collaborate with hardware, firmware, and product teams to align AI capabilities 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 across devices.
• Drive responsible AI considerations including on-device privacy and bias evaluation.
• Maintain comprehensive, current technical documentation - architecture diagrams, design decisions, configuration references, runbooks, and operational procedures.

Skills

Edge AI experience

Python

C++

Model compression

Quantization

Pruning

Performance profiling

Cross-functional collaboration

Security considerations

Education

Bachelor's or Master's in CS/CE or related field

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 resource-constrained edge devices, including mobile platforms and embedded systems. The role emphasizes model compression, quantization, and hardware-aware optimization within production environments.

The ideal candidate has 8+ years of ML engineering experience, strong Python and C++ skills, and hands-on work with edge frameworks.