Embedded AI/ML Developer
USD 147K-230K Senior-level Full Time
Tasks
- Apply model compression quantization pruning and benchmarking
- Create technical documentation and integration guides
- Design embedded AI ML software for edge devices
- Integrate interfaces between AI ML components firmware drivers sensors and host applications
- Integrate machine learning inference runtimes into firmware and system software
- Optimize AI ML models for latency memory power compute constraints
- Profile debug and troubleshoot AI inference firmware sensor and communication issues
- Support AI feature requirements system architecture and validation plans
- Tune embedded AI workloads for inference performance memory footprint responsiveness power
Perks/Benefits
- Dental insurance
- Employee assistance program
- Flexible spending account
- Generous time off
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
Artificial Intelligence | Benchmarking | Bluetooth | C++ | DSP | Debugging | Edge inference | Embedded Systems | I2C | Inference Runtime | JTAG | Linux | Logic analyzer | Machine Learning | Model Compression | Model Deployment | NPU | ONNX | OpenVINO | Oscilloscope | PCIe | Profiling | Pruning | PyTorch | Python | Quantization | RTOS | SPI | SWD | Secure Update | TensorFlow | TensorFlow Lite | TensorRT | UART | USB | Wi-Fi | Windows
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI/ML Developer | Developer | Embedded AI ML Developer | ML Developer
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