Position Details
About this role
This role involves developing advanced AI models that interpret multimodal sensor data at the edge, focusing on time-series analysis, sensor fusion, and physical reasoning to enable intelligent sensing systems.
Key Responsibilities
- Develop multimodal sensor models
- Optimize AI architectures for edge inference
- Advance physics-aligned AI reasoning
- Evaluate and improve sensor data fusion models
- Collaborate with hardware teams
Technical Overview
The technical environment includes AI model development using Python, PyTorch, and TensorFlow, with a focus on foundation models, resource-efficient architectures, and physics-based AI reasoning for edge applications.
Ideal Candidate
The ideal candidate is a senior AI engineer with extensive experience in time-series and sensor data modeling, particularly in edge AI applications. They possess strong skills in developing foundation models, sensor fusion, and physics-based reasoning, with a proven track record of deploying efficient AI architectures for embedded systems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with sensor data or time-series modeling, No background in edge AI or embedded systems, Unable to work in a hybrid environment, No experience with physics-based AI models
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