Summary written by USA Jobs 24 from Analog Devices' advert and our data on 17,030 current US jobs. How we check every job
At a glance
Analog Devices is hiring a Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs) in San Jose, CA; Wilmington, MA. It is a full-time role in Data, AI & Analytics, asking for at least 10 years of experience, first listed on November 1. The advertised pay is $230,000–$316,250 a year. The description mentions NLP, Deep learning, Python, PyTorch, TensorFlow and Computer vision. Analog Devices has 99 other openings in the US, 18 of them in San Jose, CA. Across all employers on USA Jobs 24 there are 60 Data & AI openings in San Jose, CA today; the typical one asks for 8 years and advertises about $230,000 a year at the midpoint.
How the pay compares
Analog Devices advertises $230,000 to $316,250 a year, a midpoint of $273,125 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 77% of the 559 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $229,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while Computer vision is the least common (4%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Analog Devices' Workday site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Jose, CA (or one of 1 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 10 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as NLP, Deep learning and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Analog Devices' own site. Our Apply button goes straight to Analog Devices' Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Analog Devices
Analog Devices has 100 openings on USA Jobs 24 today across 11 states. Most are in software & IT (44), hardware & chips (18) and engineering & mfg (10). The biggest locations are Wilmington, MA (37), San Jose, CA (19) and Durham, NC (10). None of them is fully remote, 6% are open to entry-level candidates and 84% show pay. We collect Analog Devices' jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Analog Devices' own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Analog DevicesHide the advert700 words
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’re looking for Deep Agentic Reasoning Engineer (open rank) to design and build multimodal reasoning models (e.g., time-series, audio, video, sensor data) for Edge AI applications. You’ll collaborate with experts in AI, NLP, audio, time series, RL and other domains to advance reasoning capabilities in alignment with Analog Devices business needs. This role offers the opportunity to work on the forefront of AI research, contributing to the development of agentic systems and multimodal reasoning frameworks.
What You’ll Do
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.
What You Bring
Technical Mastery: 10+ years of experience releasing software products with a strong track record of AI/ML success.
AI/ML Expertise: 6+ years of experience releasing AI/ML products.
Educational Background: PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline.
Research Excellence: Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR).
Core Technical Expertise
Proficiency in training, post-training, and evaluating transformer-based models with deep understanding of training dynamics, architecture modifications, and optimization techniques
Strong expertise in supervised fine-tuning, RL (e.g., GRPO), and advanced post-training techniques for reasoning models, including hands-on experience with RL implementation and policy optimization
Experience in implementing and modifying transformer architectures (encoder/decoder variants, attention mechanisms, positional encodings)
Advanced knowledge of techniques including Chain-of-Thought (CoT), agentic tree search methods, continual learning, etc.
Multi-agent orchestration, task decomposition, and experience with both static frameworks (e.g., LangGraph) and dynamic multi-agent harnesses for complex reasoning workflows
Growth Mindset
Appetite for continuous learning with demonstrated ability to quickly adapt to new research directions
Resourcefulness in exploring and implementing emerging paradigms such as JEPA training, world models, diffusion-based generation, and agentic harnesses
Interest in frontier applications including edge AI deployment, multi-agent orchestration, deep research automation
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: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $230,000 to $316,250.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.
USA Jobs 24 copied this listing from Analog Devices' official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Analog Devices will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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