Principal Engineer - Time-Series Foundation Models

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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible . Learn more at and on LinkedIn and Twitter (X).

Principal Engineer - Time-Series Foundation Models

About Lorenz Labs
Lorenz Labs, ADI's advanced AI research group, is chartered to pioneer the frontier of Physical Intelligence-developing foundation models and agentic systems that reason about the physical world. We are building the next generation of models that go beyond language and vision, into time, signals, and embodied experience.

About the Role

We are seeking a Principal Engineer in Time-Series Foundation Models to lead research and development of large-scale time-series AI models. This role will drive innovation similar to Archetype AI's sensor-based foundation modeling, but with ADI's unique advantage at the intersection of sensors, signals, and edge compute.

You will develop and scale models that unify temporal, spatial, and multimodal signals into foundation architectures for anomaly detection, forecasting, and reasoning across physical domains (e.g., industrial, energy, health, robotics). This position combines cutting-edge research, technical leadership, and cross-functional collaboration with ADI's sensor, semiconductor, and systems teams.

Key Responsibilities

• Lead the design and training of time-series foundation models, including transformers, diffusion, and hybrid neuro-symbolic architectures.
• Explore cross-domain generalization: from network telemetry to biosignals, from manufacturing logs to multimodal sensor data.
• Develop new methods for anomaly detection, causal inference, motif discovery, and representation learning in high-dimensional time-series.
• Partner with ADI hardware, signal processing, and edge compute teams to optimize models for deployment in resource-constrained, real-time environments.
• Publish at top conferences (NeurIPS, ICLR, ICML, KDD, AISTATS) to establish ADI as a thought leader in time-series AI.
• Collaborate with internal and external partners (universities, research labs, startups) to accelerate innovation.
• Mentor junior scientists and help shape Lorenz Labs' research agenda on physical intelligence.

Must Have Skills

• Deep expertise in time-series ML, including statistical, deep learning, and foundation models (Chronos, TimesFM, TimeGPT).
• Strong background in optimization, control theory, Gaussian Processes, and anomaly detection.
• Track record of industrial research with patents and publications in ML/AI.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, etc.), with experience in large-scale training pipelines.
• Ability to collaborate across disciplines-ML, hardware, embedded systems, data engineering-and translate research into deployable systems.

Preferred Education and Experience

• PhD in Computer Science, Electrical Engineering, Applied Math, or related field.
• 10+ years of experience in ML research and development (academic + industrial).
• Demonstrated success in leading research-to-product transitions.
• Recognized contributions to the ML community (publications, patents, open-source).

Why You'll Love Working at ADI
At Lorenz Labs, you will work at the edge of AI, sensors, and the physical world. You'll have the freedom to explore new paradigms of modeling time and signals, backed by ADI's scale, data access, and hardware ecosystem. This is an opportunity to shape a new category of AI research-foundation models for the physical world-and help build the future of PhysGPT and the 'Artificial Engineer.'

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 s, 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.

Analog Devices 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.
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 $170,775 to $256,163.

• 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.