Edge AI Engineer
United States - Remote
R
USD 130K-200K (estimate) Senior-level Full Time
Tasks
- Apply quantization pruning distillation and architectural optimization
- Build cross platform inference runtimes
- Build telemetry pipelines with privacy
- Collaborate with hardware, firmware, and product teams
- Design and implement Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites for accuracy latency and energy tradeoffs
- Drive responsible AI bias evaluation and on device 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
- Tune model performance for latency energy and memory
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Core ML | Edge Computing | Embedded Systems | Federated Learning | Hybrid Cloud | Integrity verification | Knowledge Distillation | Machine Learning | Mobile GPU | Model Compression | Model Deployment | ONNX Runtime | On Device Privacy | Performance Profiling | Pruning | Python | Quantization | Security | Telemetry | TensorFlow Lite
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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