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: 15+ 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 time
Shift Type: 1st Shift/DaysThe 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.
Skills Required
- 15+ years of experience releasing software products with a strong track record of AI/ML success
- 6+ years of experience releasing AI/ML products
- PhD in AI-related fields such as NLP, computer vision, speech processing, or a related discipline
- Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, or CVPR
- Proficiency training, post-training, and evaluating transformer-based models
- Deep understanding of training dynamics, architecture modifications, and optimization techniques
- Expertise in supervised fine-tuning, reinforcement learning, GRPO, and advanced post-training techniques for reasoning models
- Hands-on experience implementing reinforcement learning and policy optimization
- Experience implementing and modifying transformer architectures, attention mechanisms, and positional encodings
- Advanced knowledge of Chain-of-Thought, agentic tree search, and continual learning
- Experience with multi-agent orchestration and task decomposition
- Experience with static frameworks such as LangGraph and dynamic multi-agent harnesses
- Ability to quickly adapt to new research directions and emerging AI paradigms
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
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Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
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Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
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Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
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