Bright Vision Technologies is a forward-thinking software development company seeking a skilled Edge AI Engineer to contribute to their mission of transforming business processes through technology. The ideal candidate has shipped edge AI in production environments and has expertise in model compression, quantization, and hardware-aware optimization.
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 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
- Stay current with edge AI hardware and software developments
Benefits
- Competitive base salary commensurate with experience
- Benefits
- Long-term, multi-year engagement
- Opportunity for career growth