Embedded Artificial Intelligence Architect
CAD 107K-147K (estimate) Senior-level Full Time
Tasks
- Author and maintain technical architecture and training documentation
- Create and manage datasets for training validation testing
- Define evaluation metrics and assess model performance robustness
- Define roadmap from ground prototypes to on board inference
- Design and implement simulators for training data
- Develop and evaluate AI ML for anti jamming mitigation
- Develop and evaluate AI ML for cognitive radio
- Develop and evaluate AI ML for network traffic prediction
- Implement reinforcement learning where appropriate
- Integrate AI capabilities with end to end system
- Lead embedded AI solution design
- Mentor and guide technical decision making
- Perform AI ML problem formulation and feasibility studies
- Prototype offline training and online adaptation
- Provide technical leadership across AI ML lifecycle
- Select model architectures for embedded constraints
Perks/Benefits
- Dental benefits
- Disability income protection
- Employee assistance program
- Extended healthcare
- Family assistance program
- Flexible drug plans
- Group retirement savings plans
- Life insurance
- Vision benefits
Skills/Tech-stack
C# | C++ | CI/CD | CUDA | Computer Science | Computer Vision | Confluence | Continuous Delivery | Continuous integration | Data Pipelines | Dataset Management | Deep learning | Digital Twin | Embedded Linux | Embedded Software | Embedded Systems | Embedded software development | FPGA | GPU Optimization | Git | Jira | Machine Learning | Model Inference | Model Training | PyTorch | Python | Reinforcement Learning | Simulation | Software development | TensorFlow | Test automation | Version control
Education
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