Edge AI Engineer
Tasks
- Apply quantization pruning distillation and architectural optimization
- 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
- Evaluate responsible AI bias and privacy
- Implement on device model update versioning and rollback
- Implement secure execution paths model protection and integrity verification
- Maintain technical documentation and runbooks
- Optimize models for accelerator backends
- Optimize models for latency energy and memory
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Core ML | DSP | Federated Learning | Inference Optimization | Knowledge Distillation | Machine Learning | Mobile GPU | Mobile SoC | Model Compression | Model Deployment | NPU | ONNX Runtime | Performance Engineering | Privacy | Profiling | Pruning | Python | Quantization | Security | Telemetry | TensorFlow Lite
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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