Edge AI Engineer
Tasks
- Apply model compression and quantization
- Build cross platform inference runtimes
- Build privacy preserving telemetry pipelines
- Collaborate with hardware, firmware, and product teams
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Implement on device model updates and rollback
- Implement secure model execution paths
- Maintain technical documentation and runbooks
- Optimize model performance for latency and energy
- Optimize models for accelerator backends
- Support responsible AI privacy and bias evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | Core ML | Edge Cloud | Energy Efficiency | Hybrid Edge Cloud | Inference Runtime | Knowledge Distillation | Latency optimization | Machine Learning | Model Compression | Model Optimization | Model profiling | ONNX Runtime | On Device Versioning | Privacy | Pruning | Python | Quantization | Security | Telemetry | TensorFlow Lite
Education
Roles
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