Edge AI Engineer

Bright Vision Technologies is a software development company seeking an Edge AI Engineer to design and implement edge AI solutions optimized for diverse hardware, including mobile SoCs, NPUs, and embedded accelerators.

Requirements

• Design and implement edge AI solutions optimized for diverse hardware
• 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
• 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
• 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
• Maintain comprehensive technical documentation
• Stay current with edge AI hardware and software developments

Benefits

• Competitive base salary commensurate with experience, plus benefits