Edge AI Engineer
United States - Remote
R
USD 141K-200K (estimate) Senior-level Full Time
Tasks
- Apply model compression techniques
- 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 update and rollback
- Maintain technical documentation
- Optimize model latency energy and memory
- Optimize models for accelerator backends
- Perform on device privacy and bias evaluation
- Quantize and prune machine learning models
- Secure model execution and integrity verification
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | Core ML | DSPs | Device deployment | Embedded Systems | Energy Efficiency | Federated Learning | Inference Runtime | Knowledge Distillation | Latency optimization | Machine Learning | Mobile GPU | Mobile SoCs | Model Compression | Model Optimization | NPUs | ONNX Runtime | On-device Deployment | Privacy Engineering | Profiling | Pruning | Python | Quantization | Security Engineering | TensorFlow Lite
Education
Roles
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