Edge AI Agentic Reasoning Engineer (Multimodal)

1010 Analog Devices Inc.; San Jose (CA); On-site; USD 198,000 - 272,000; Full time

Benefits offered by this job

Medical coverage

Vision coverage

Dental coverage

401k

Paid vacation

Holidays

Sick time

Other benefits

Job summary

Analog Devices, Inc. is seeking a Deep Agentic Reasoning Engineer to design and build multimodal reasoning models for Edge AI applications. You will collaborate with AI, NLP, audio, and time-series experts to advance reasoning capabilities aligned with business needs.

You will publish results and contribute to agentic systems that operate across text, images, audio, and video data, shaping the next generation of physical intelligence at ADI and Lorenz Labs.

Qualifications

• Educational Background: PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline.
• Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR, AAAI).
• Technical Expertise: Proficiency in building and evaluating transformer-based models.
• Expertise in supervised fine-tuning and post-training techniques for reasoning models.
• Experience with multimodal reasoning models (e.g., combining text, audio, and video data).
• Familiarity with agentic reasoning systems, including task orchestration and popular tools such as Langchain/langgraph.
• Know-how of reinforcement learning approaches for reasoning models (e.g. GRPO).
• Strong understanding of LLM evaluation techniques.

Responsibilities

• Develop and Evaluate Models: build and evaluate deep learning models for multimodal classification and reasoning tasks.
• Full Research Stack: Engage in the full research lifecycle, including stakeholder discussions, data collection, annotation, preprocessing, model training, and rigorous evaluation.
• Prototype and Innovate: Prototype models in Python (using PyTorch/TensorFlow) and implement core reasoning improvements, including mid-training and post-training techniques for multimodal models.
• Knowledge Distillation: Apply distillation techniques to transfer reasoning capabilities from larger models to smaller, efficient models.
• Dissemination: Document experiments and results through internal reports, blog posts, and publications in top-tier conferences and workshops.

Skills

Python (PyTorch/TensorFlow)

Transformer-based models

Multimodal reasoning

Chain-of-Thought (CoT) reasoning

Langchain

Langgraph

Reinforcement learning for reasoning

LLM evaluation techniques

Education

PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline

Tools

Langchain

langgraph

Job description

Analog Devices, Inc. is seeking a Deep Agentic Reasoning Engineer to design and build multimodal reasoning models for Edge AI applications. You will collaborate with AI, NLP, audio, and time-series experts to advance reasoning capabilities aligned with business needs.

You will publish results and contribute to agentic systems that operate across text, images, audio, and video data, shaping the next generation of physical intelligence at ADI and Lorenz Labs.