✦ Luna Orbit — AI & Machine Learning

Principal Engineer - Time-Series & Sensor Reasoning Models (Lorenz Labs)

at Analog Devices

📍 2 Locations Hybrid 💰 $170K – $256K USD / year Posted March 13, 2026
Salary $170K – $256K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

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.

  • 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

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.

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.

Experience in Time-Series & Sensor Foundation ModelsDeveloping architectures for multimodal sensor dataExperience with edge inference architecturesPhysics alignment in AI modelsModel evaluation and optimization
Knowledge of Tiny Recursive ModelsSensor fusion learning frameworksExperience with embedded modelsAI model design for healthindustrialroboticsPhysics-based AI reasoning
PythonPyTorchTensorFlow
Time-Series ModelingSensor Data FusionMultimodal DataEdge AIFoundation ModelsPhysics AlignmentRecurrent ParadigmsSensor ReasoningSignal IntelligenceAI ArchitecturesPythonPyTorchTensorFlow
Time-Series ModelingSensor Data FusionMultimodal DataAI EngineeringFoundation ModelsEdge AIPhysics AlignmentRecurrent ParadigmsSensor ReasoningSignal IntelligenceAI Architectures
Problem-solvingCollaborationInnovationCommunicationAnalytical Thinking
Industry Semiconductors / Edge AI / AI Research
Job Function AI model development and optimization for multimodal sensor data at the edge
Time-Series & Sensor Foundation ModelsSensor Data FusionMultimodal Sensor DataEdge AIPhysics AlignmentRecurrent ParadigmsSensor ReasoningAI ArchitecturesPythonPyTorchTensorFlowFoundation ModelsAI EngineeringSignal IntelligenceModel OptimizationTime-Series ModelingMultimodal Data

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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