Edge AI Multimodal Reasoning Engineer

Analog Devices; San Jose (CA); On-site; USD 230,000 - 316,000; Full time

Benefits offered by this job

Medical coverage

401k

Paid time off

Job summary

Analog Devices seeks a Deep Agentic Reasoning Engineer (open rank) to design and build multimodal reasoning models for Edge AI. You will collaborate with AI/NLP/audio/time-series experts and contribute to agentic systems, with responsibilities spanning data handling, model training, and rigorous evaluation.

You will prototype in Python using PyTorch/TensorFlow, apply distillation and post-training techniques, and disseminate results through internal reports and top-tier venues.

Qualifications

• PhD in AI-related fields required; strong publication record preferred.
• 6+ years of releasing AI/ML products or research outputs relevant to multimodal reasoning.
• Experience with transformer-based architectures and model optimization.

Responsibilities

• Develop and evaluate multimodal deep learning models for Edge AI applications.
• Engage in the full research lifecycle: data collection, preprocessing, training, evaluation, and documentation.
• Prototype models in Python (PyTorch/TensorFlow) and implement reasoning improvements.
• Apply and validate knowledge distillation and policy optimization techniques for scalable models.

Skills

Transformer models

Reinforcement learning

Multimodal reasoning

Python ML (PyTorch/TensorFlow)

Education

PhD in AI-related fields

Tools

PyTorch

TensorFlow

LangGraph

Job description

Analog Devices seeks a Deep Agentic Reasoning Engineer (open rank) to design and build multimodal reasoning models for Edge AI. You will collaborate with AI/NLP/audio/time-series experts and contribute to agentic systems, with responsibilities spanning data handling, model training, and rigorous evaluation.

You will prototype in Python using PyTorch/TensorFlow, apply distillation and post-training techniques, and disseminate results through internal reports and top-tier venues.