Senior Principal AI/ML Engineer, Time-Series & Sensor Reasoning Models (Lorenz Labs)

1010 Analog Devices Inc.; San Jose (CA); On-site; USD 260,000 - 358,000; Full time

Job summary

Analog Devices, Inc. seeks a Principal AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing and large-scale temporal modeling.

You will build architectures unifying multimodal sensor data into a foundation for context-aware reasoning across time, contributing to the Faraday suite of intelligent models. The role spans automotive, health, industrial systems, and robotics, enabling time-series feature extraction, anomaly detection,

Qualifications

• 14+ years of experience developing AI/ML products
• Deep expertise in time-series ML, signal processing, and foundation models (Chronos, TimesFM, TimeGPT)
• Proficiency in representation learning, time series encoding, compression and motif discovery
• Knowledge of state-of-the-art models in time series reasoning and cross-attention
• Experience with parameter-efficient fine-tuning and reward-based optimization
• Strong knowledge in statistical hypothesis testing and experimental design
• Fluency in Python, PyTorch, and large-scale training pipelines

Responsibilities

• Lead R&D on intelligent time-series agents for edge
• Integrate multiple data modalities including electrical, audio, motion, text
• Advance sensor fusion for cross-modal alignment
• Create benchmarking pipelines for cross-domain foundation models
• Apply LoRA/Q-LoRA and alignment methods for multimodal data
• Explore time-series embedding and compression for edge deployment
• Collaborate with hardware/software teams for real-time, energy-efficient sensing
• Mentor researchers and contribute to Lorenz Labs strategy
• Publish at NeurIPS, ICML, ICASSP, KDD and similar venues

Skills

AI leadership

Time-series ML

Python

PyTorch

Multimodal sensing

Experimental design

Cross-disciplinary collab

Education

Ph.D. in Electrical Engineering, Computer Science, or Applied Physics

Tools

LoRA

Q-LoRA

RLAIF

DPO

PPO

Job description

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 www.analog.com and on LinkedIn and X.

About the Role

We are seeking a Principal 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.

Key Responsibilities

• 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 modern foundation alignment techniques, including DPO (Direct Preference Optimization) and RLAIF (Reinforcement Learning from AI Feedback) for physical and sensory reasoning tasks.
• Partner with ADI’s hardware, signal processing, and systems teams to co-design architectures for real-time, energy-efficient sensing applications.
• Work on design of statistical experiments for SMEs to collect sensor data for model development.
• Publish and represent ADI at major ML and signal-processing venues (NeurIPS, ICLR, ICML, ICASSP, KDD), often in conjunction with leading AI industry partners.
• Mentor junior researchers and help shape Lorenz Labs’ strategy for foundation models that understand and reason about physical systems.

Must Have Skills

• 14+ years of experience developing AI/ML products
• Deep expertise in time-series ML, signal processing, and foundation models (Chronos, TimesFM, TimeGPT, etc.) – understanding of tradeoffs of different architectures, hands on experience of training or fine-tuning one or more of the time series foundation models, evaluation of different models.
• Proficiency in representation learning, time series encoding, time series compression and motif discovery in high dimensional temporal data.
• Knowledge of SOTA models in time series reasoning (based on cross-attention and multi-modal embedding), time series agentic systems, time series memory and RAG.
• Parameter-efficient fine-tuning, LoRA/Q-LoRA, and reward-based optimization methods (DPO, PPO, RLAIF).
• Strong knowledge in statistical hypothesis testing, experimental design, causal discovery.
• Fluency in Python, PyTorch, and large-scale training pipelines using cloud or distributed systems (AWS, GCP, etc.).
• Ability to collaborate across disciplines—ML, hardware, and embedded systems—and translate research into deployable physical intelligence systems.

Preferred Education and Experience

• Ph.D. in Electrical Engineering, Computer Science, or Applied Physics.
• Demonstrated leadership and agility in combining technical solutions to business problems, preferably for embedded systems.
• Record of innovation through patents, publications, or open-source contributions.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $260,360 to $357,995. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

Analog Devices, Inc. is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law.

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 www.analog.com and on LinkedIn 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.