Principal Foundation Model Research Engineer

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

The AI Incubation team is looking for experienced Machine Learning Engineers to develop core AI technologies for Analog Devices’ future AI products.

Our technologies range from generative AI for electronics to deeply embedded AI models in our silicon. We work across various markets and applications to solve problems beyond the reach of traditional algorithms and circuit innovations.

Responsibilities include :

• Lead the development of large-scale multimodal models using cutting-edge technologies and multi-GPU setups.
• Create evaluation frameworks and downstream applications for foundation models deployable on Analog Devices’ AI Platform.
• Collaborate closely with the Central AI and Central Data teams on data and model governance.
• Stay abreast of the latest developments in machine learning tools from reputable groups and experiment with and prototype new machine learning libraries and practices.

Qualifications :

• Master’s degree or equivalent experience.
• 8+ years of full-time industry experience in machine learning.
• Good track record of working with machine learning in production settings.
• Strong background in machine learning and AI, and experience in :
• Training large-scale neural network models (transformers, GANs, etc.) with PyTorch.
• Scalable neural network training with multi-GPU compute clusters using DeepSpeed or similar technologies.
• Optimizing data pipelines and performing data cleaning / normalization.
• Software development for deployable machine learning systems.
• Familiarity with electrical engineering, hardware, and signal processing is highly preferred.

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.

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

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