AI​/ML Engineer, Time-Series & Sensor Reasoning Models; Lorenz Labs

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.

Learn more at  and on Linked In and X.

Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.

Learn more at  and on Linked In and X. Come join ADI – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

We are seeking a Staff AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing, signal intelligence, and large-scale temporal modeling. This role will develop architectures that unify multimodal sensor data—including electrical, audio, motion, photonic, and physiological signals—into a coherent foundation for context‑aware reasoning across time. Your work will contribute directly to ADI’s Faraday suite of physically‑intelligent reasoning models.

Building on ADI’s leadership in sensing and edge intelligence, you will extend foundation‑scale modeling into domains such as automotive, health, industrial systems, and robotics—enabling time series feature extraction, anomaly detection, forecasting, and cross‑sensor understanding that bridge physics and AI. You will be working on multi‑modal time series reasoning models which will be capable of reasoning about sensor signals, utilizing state‑of‑the‑art techniques in time series embeddings, cross‑attention, reinforcement learning and time series agentic solutions.

• Lead R&D on creation of intelligent time‑series agents for edge by combining time series anomaly detection, reasoning, forecasting foundation models; these models will be able to incorporate multiple data modalities such as electrical, audio, motion, physiological as well as text.
• Besides the time series modality these models will be able to use other modalities such as text and image, which will serve as additional context.
• Advance research in sensor fusion, enabling cross‑modal alignment between electrical, acoustic, inertial, and photonic domains.
• Create benchmarking pipelines for cross‑domain time‑series foundation models, covering representation robustness, interpretability, and hardware performance metrics.
• Apply alignment and fine‑tuning methods such as LoRA, Q‑LoRA, adapter‑tuning, and contrastive alignment for multimodal sensor datasets.
• Leverage SOTA research in time series embedding and compression to enable time series reasoning models for edge, Investigate…