Edge AI Engineer
Tasks
- Apply model compression and quantization
- Build cross platform inference runtimes
- Build privacy aware telemetry pipelines
- Collaborate with hardware, firmware, and product teams
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Evaluate bias and responsible AI
- Implement on device model update and rollback
- Implement secure execution and model integrity verification
- Maintain technical documentation and runbooks
- Optimize inference latency energy efficiency memory
- Optimize models for accelerator backends
Perks/Benefits
- N/A
Skills/Tech-stack
Architecture Optimization | Bias Evaluation | C++ | Core ML | DSP | Edge AI | Federated Learning | Knowledge Distillation | Machine Learning | Mobile GPU | Model Architecture | Model Architecture Optimization | Model Compression | Model Integrity | NPU | ONNX Runtime | On-device Inference | Privacy | Pruning | Python | Quantization | Secure execution | Telemetry | TensorFlow Lite
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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