Senior Staff AI Engineer, Edge AI
Tasks
- Analyze continuous vehicle data logs and traces
- Build and train Edge AI models
- Cluster log patterns and identify software regressions
- Correlate sensor anomalies across modalities
- Create synthetic data for training
- Deploy models on CPU GPU and embedded NPUs
- Detect and predict subsystem failures
- Develop unsupervised and supervised anomaly detection
- Implement ML pipelines end to end
- Lead edge ML pipeline architecture
- Mentor junior engineers
- Optimize machine learning models for edge deployment
Perks/Benefits
- Computer accessory allowance
- Dental insurance
- Health insurance
- Hybrid work arrangement
- Life insurance
- Phone and internet reimbursement
- Retirement plan
- Unlimited paid time off
- Vision insurance
- Wellness allowance
Skills/Tech-stack
ADAS | ARM | AutoEncoder | C++ | CAN bus | CNN | Convolutional Neural Networks | Edge Computing | Embedded Systems | GRU | Isolation Forest | Knowledge Distillation | LLM | LSTM | Language Models | Large Language Models | Linux | Linux Kernel | Model Optimization | Mqtt | NLP | NVIDIA TensorRT | Neural Networks | ONNX | Pruning | PyTorch | Python | QNX | Qualcomm SNPE | Quantization | RNN | Scikit-learn | TFLite | TVM | TensorFlow | Time Series | Transformers | Vector Store
Education
Roles
AI Engineer | Edge AI Engineer | Engineer | Senior AI Engineer | Staff AI Engineer
Regions
Countries
States
Cities
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