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Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now

Analog Devices

Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now

full-timePosted: Jan 30, 2026

Job Description

Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California and Rio Robles, California

Overview: Pioneering Physical Intelligence at Lorenz Labs

Analog Devices stands at the forefront of semiconductor innovation, bridging the physical and digital worlds to power the Intelligent Edge. With over $9 billion in revenue and 24,000 employees worldwide, we're transforming industries through analog, digital, and software convergence. Lorenz Labs, our cutting-edge AI division within Edge AI, pushes boundaries in Physical Intelligence—crafting foundation models and agentic systems that reason about time, signals, and embodied reality.

As a Deep Agentic Reasoning Engineer in San Jose, California or Rio Robles, California, you'll architect multimodal reasoning models that integrate time-series, audio, video, and sensor data. This role demands expertise in transformer architectures, Chain-of-Thought reasoning, and agentic frameworks like LangChain. Join us to build the Artificial Engineer: AI that simulates and designs electro-physical systems with human intuition, optimized for edge deployment.

Our San Jose and Rio Robles locations offer proximity to Silicon Valley's innovation ecosystem while providing Analog Devices' world-class infrastructure. Expect 10% travel, primarily domestic, to collaborate across our global teams. This experienced-level position reports to Lorenz Labs leadership and requires U.S. export compliance eligibility.

A Day in the Life of a Deep Agentic Reasoning Engineer

Your morning begins with stakeholder syncs, refining requirements for Physical Intelligence models aligned with ADI's mobility and healthcare applications. Dive into PyTorch prototyping, experimenting with multimodal fusion of accelerometer time-series and audio signals for edge reasoning tasks.

By midday, you're annotating datasets or fine-tuning transformers with CoT prompting, evaluating against custom benchmarks. Afternoon brings collaboration—whiteboarding agentic workflows with LangGraph, distilling large models for ARM-based edge chips. End your day documenting breakthroughs for NeurIPS submission or internal PhysGPT demos, fueled by campus perks like catered lunches and fitness facilities.

This rhythm blends deep research autonomy with cross-functional impact, where your innovations directly shape ADI's $9B+ portfolio.

Why San Jose and Rio Robles, California?

San Jose, California anchors Silicon Valley's epicenter, mere minutes from Stanford and NASA Ames. Home to 1 million innovators, it boasts perfect weather, diverse cuisine from Michelin-starred spots to food trucks, and unmatched networking at TechCrunch Disrupt or AI Summit events. Analog Devices' campus features state-of-the-art labs, EV charging, and shuttle services easing commutes on Highway 101.

Rio Robles, California offers a serene contrast—rolling hills, family-friendly vibes, and quick access to Monterey Bay beaches. Both locations deliver California's lifestyle: year-round outdoor activities, cultural festivals, and proximity to wine country. With median home prices reflecting tech prosperity, ADI's competitive compensation ensures work-life harmony amid palm-lined streets and innovation hubs.

California's progressive policies support tech talent through incentives like R&D tax credits, while our locations minimize earthquake risks via advanced engineering. Live where breakthroughs happen daily.

Career Growth and Professional Development

Lorenz Labs accelerates your trajectory from individual contributor to AI lead. Publish at top venues—NeurIPS, ICML, CVPR—leveraging ADI's data troves for groundbreaking Physical Intelligence papers. Access tuition reimbursement for post-PhD specializations, mentorship from ADI Fellows, and leadership tracks in Edge AI productization.

Rotate across modalities (NLP to embodied AI), contribute to open-source PhysGPT frameworks, and present at internal TED-style symposia. High performers gain equity stakes, global project leadership, and paths to VP of AI Research. Our 24,000-strong network spans Boston to Bangkok, opening doors worldwide.

Rewards and Compensation Excellence

Earn $170,775–$256,163 base, plus performance bonuses tied to model impact and publications. Full benefits include medical/vision/dental, 401(k) match, unlimited PTO accrual, 10+ holidays, and family leave. Equity programs align you with ADI's growth (NASDAQ: ADI), while wellness perks—gym memberships, mental health days—sustain peak performance.

Relocation packages cover moves to San Jose or Rio Robles, with export support for global talent. This total rewards philosophy reflects our commitment to retaining PhD-caliber engineers pioneering agentic AI.

Innovative Culture at Analog Devices

ADI fosters Ahead of What's Possible™ through inclusive, high-trust teams. Lorenz Labs embodies hacker ethos—flat hierarchies, rapid iteration, failure-tolerant experimentation. Weekly AI jams, hackathons, and cross-lab rotations spark creativity, backed by diverse EEO policies celebrating all backgrounds.

Engineers thrive in collaborative spaces with standing desks, quiet pods, and VR collaboration tools. Social committees organize Yosemite hikes, Diwali celebrations, and Pride events. With 10% travel fostering global bonds, our culture scales personal impact to enterprise transformation.

Apply Now: Shape the Future of Physical Intelligence

Ready to engineer AI that reasons like humans about the physical world? Submit your CV, publication list, and GitHub showcasing multimodal prototypes. U.S. Citizens, Permanent Residents, or protected individuals preferred due to export controls. Top candidates interview with Lorenz Labs directors, prototype live, and join within weeks.

EEO Statement: Analog Devices is an equal opportunity employer. We celebrate diversity and commit to inclusive hiring.

Frequently Asked Questions

Locations

  • San Jose, California, United States
  • Rio Robles, California, United States

Salary

170,775 - 256,163 USD / yearly

Estimated Salary Rangehigh confidence

170,775 - 256,163 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep Learning Model Developmentintermediate
  • Multimodal Reasoning Frameworksintermediate
  • Transformer-based Modelsintermediate
  • PyTorch Proficiencyintermediate
  • TensorFlow Expertiseintermediate
  • Supervised Fine-Tuningintermediate
  • Post-Training Techniquesintermediate
  • Chain-of-Thought Reasoningintermediate
  • Knowledge Distillationintermediate
  • Time-Series Analysisintermediate
  • Audio Processingintermediate
  • Video Analysisintermediate
  • Agentic Systems Designintermediate
  • LangChain Integrationintermediate
  • LangGraph Orchestrationintermediate
  • Reinforcement Learning GRPOintermediate
  • LLM Evaluation Methodsintermediate
  • Data Annotation Pipelinesintermediate
  • Model Prototypingintermediate
  • Research Publicationintermediate
  • Python Programmingintermediate
  • AI Research Lifecycleintermediate
  • Multimodal Data Integrationintermediate
  • Edge AI Optimizationintermediate
  • Physical Intelligence Modelsintermediate

Required Qualifications

  • PhD in AI, NLP, Computer Vision, or Speech Processing (experience)
  • Strong publication record in NeurIPS, ICML, ICLR (experience)
  • Publications in ACL, NAACL, EMNLP, CVPR, AAAI (experience)
  • Proficiency in transformer-based architectures (experience)
  • Expertise in supervised fine-tuning techniques (experience)
  • Experience with post-training reasoning methods (experience)
  • Hands-on multimodal reasoning model development (experience)
  • Integration of text, audio, video data modalities (experience)
  • Familiarity with Chain-of-Thought prompting (experience)
  • Knowledge of agentic reasoning systems (experience)
  • Experience with LangChain and LangGraph tools (experience)
  • Understanding of reinforcement learning for reasoning (experience)
  • GRPO and similar RL approaches for LLMs (experience)
  • Strong LLM evaluation and benchmarking skills (experience)
  • Full research stack experience from data to deployment (experience)
  • Prototype development in Python environments (experience)
  • Collaboration with cross-domain AI experts (experience)
  • Experience in Edge AI applications (experience)
  • Publication-quality documentation skills (experience)
  • Stakeholder communication and requirement gathering (experience)

Responsibilities

  • Develop deep learning models for multimodal classification
  • Build reasoning models for time-series data analysis
  • Create audio and video reasoning frameworks
  • Engage in complete AI research lifecycle
  • Conduct stakeholder discussions for requirement gathering
  • Perform data collection and annotation tasks
  • Execute data preprocessing and cleaning pipelines
  • Train transformer-based multimodal models
  • Implement rigorous model evaluation protocols
  • Prototype innovative reasoning improvements
  • Apply mid-training optimization techniques
  • Develop post-training enhancement methods
  • Perform knowledge distillation to edge models
  • Transfer capabilities from large to efficient models
  • Document experiments in detailed internal reports
  • Author technical blog posts on research findings
  • Publish papers at top-tier AI conferences
  • Present at workshops and industry events
  • Collaborate with NLP, audio, vision experts
  • Align models with Analog Devices business needs
  • Optimize models for Edge AI deployment
  • Integrate agentic systems with physical intelligence

Benefits

  • general: Competitive salary range $170,775 - $256,163 USD
  • general: Discretionary performance-based bonus program
  • general: Comprehensive medical health coverage
  • general: Vision and dental insurance plans
  • general: 401(k) retirement savings with company match
  • general: Paid vacation time accrual
  • general: Company-paid holidays throughout the year
  • general: Sick time and personal wellness days
  • general: Professional development and training budget
  • general: Tuition reimbursement for advanced degrees
  • general: Stock purchase and equity programs
  • general: Employee stock ownership opportunities
  • general: Flexible work arrangements when possible
  • general: On-site fitness center and wellness programs
  • general: Free shuttle services to/from campus
  • general: Catered meals and snack programs
  • general: Parental leave and family support benefits
  • general: Mental health and counseling services
  • general: Volunteer time off for community service
  • general: Relocation assistance package
  • general: Export licensing support for international talent
  • general: Career growth in Lorenz Labs AI team

Target Your Resume for "Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now" , Analog Devices

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Tags & Categories

Deep Agentic Reasoning EngineerAnalog Devices careersLorenz Labs jobsSan Jose AI jobsPhysical Intelligence AIMultimodal reasoning modelsEdge AI engineerTransformer models PyTorchChain-of-Thought reasoningLangChain developerAI PhD jobs CaliforniaNeurIPS publicationsKnowledge distillation AITime-series AI modelsAgentic systems engineerSilicon Valley AI careersRio Robles tech jobsPhysGPT developmentArtificial Engineer AIICML research positionsCVPR computer vision jobsEmbedded AI optimizationReinforcement learning GRPOArtificial IntelligenceMachine LearningDeep LearningEdge AIResearch EngineerSemiconductors

Answer 10 quick questions to check your fit for Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now @ Analog Devices.

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Analog Devices logo

Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now

Analog Devices

Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now

full-timePosted: Jan 30, 2026

Job Description

Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California and Rio Robles, California

Overview: Pioneering Physical Intelligence at Lorenz Labs

Analog Devices stands at the forefront of semiconductor innovation, bridging the physical and digital worlds to power the Intelligent Edge. With over $9 billion in revenue and 24,000 employees worldwide, we're transforming industries through analog, digital, and software convergence. Lorenz Labs, our cutting-edge AI division within Edge AI, pushes boundaries in Physical Intelligence—crafting foundation models and agentic systems that reason about time, signals, and embodied reality.

As a Deep Agentic Reasoning Engineer in San Jose, California or Rio Robles, California, you'll architect multimodal reasoning models that integrate time-series, audio, video, and sensor data. This role demands expertise in transformer architectures, Chain-of-Thought reasoning, and agentic frameworks like LangChain. Join us to build the Artificial Engineer: AI that simulates and designs electro-physical systems with human intuition, optimized for edge deployment.

Our San Jose and Rio Robles locations offer proximity to Silicon Valley's innovation ecosystem while providing Analog Devices' world-class infrastructure. Expect 10% travel, primarily domestic, to collaborate across our global teams. This experienced-level position reports to Lorenz Labs leadership and requires U.S. export compliance eligibility.

A Day in the Life of a Deep Agentic Reasoning Engineer

Your morning begins with stakeholder syncs, refining requirements for Physical Intelligence models aligned with ADI's mobility and healthcare applications. Dive into PyTorch prototyping, experimenting with multimodal fusion of accelerometer time-series and audio signals for edge reasoning tasks.

By midday, you're annotating datasets or fine-tuning transformers with CoT prompting, evaluating against custom benchmarks. Afternoon brings collaboration—whiteboarding agentic workflows with LangGraph, distilling large models for ARM-based edge chips. End your day documenting breakthroughs for NeurIPS submission or internal PhysGPT demos, fueled by campus perks like catered lunches and fitness facilities.

This rhythm blends deep research autonomy with cross-functional impact, where your innovations directly shape ADI's $9B+ portfolio.

Why San Jose and Rio Robles, California?

San Jose, California anchors Silicon Valley's epicenter, mere minutes from Stanford and NASA Ames. Home to 1 million innovators, it boasts perfect weather, diverse cuisine from Michelin-starred spots to food trucks, and unmatched networking at TechCrunch Disrupt or AI Summit events. Analog Devices' campus features state-of-the-art labs, EV charging, and shuttle services easing commutes on Highway 101.

Rio Robles, California offers a serene contrast—rolling hills, family-friendly vibes, and quick access to Monterey Bay beaches. Both locations deliver California's lifestyle: year-round outdoor activities, cultural festivals, and proximity to wine country. With median home prices reflecting tech prosperity, ADI's competitive compensation ensures work-life harmony amid palm-lined streets and innovation hubs.

California's progressive policies support tech talent through incentives like R&D tax credits, while our locations minimize earthquake risks via advanced engineering. Live where breakthroughs happen daily.

Career Growth and Professional Development

Lorenz Labs accelerates your trajectory from individual contributor to AI lead. Publish at top venues—NeurIPS, ICML, CVPR—leveraging ADI's data troves for groundbreaking Physical Intelligence papers. Access tuition reimbursement for post-PhD specializations, mentorship from ADI Fellows, and leadership tracks in Edge AI productization.

Rotate across modalities (NLP to embodied AI), contribute to open-source PhysGPT frameworks, and present at internal TED-style symposia. High performers gain equity stakes, global project leadership, and paths to VP of AI Research. Our 24,000-strong network spans Boston to Bangkok, opening doors worldwide.

Rewards and Compensation Excellence

Earn $170,775–$256,163 base, plus performance bonuses tied to model impact and publications. Full benefits include medical/vision/dental, 401(k) match, unlimited PTO accrual, 10+ holidays, and family leave. Equity programs align you with ADI's growth (NASDAQ: ADI), while wellness perks—gym memberships, mental health days—sustain peak performance.

Relocation packages cover moves to San Jose or Rio Robles, with export support for global talent. This total rewards philosophy reflects our commitment to retaining PhD-caliber engineers pioneering agentic AI.

Innovative Culture at Analog Devices

ADI fosters Ahead of What's Possible™ through inclusive, high-trust teams. Lorenz Labs embodies hacker ethos—flat hierarchies, rapid iteration, failure-tolerant experimentation. Weekly AI jams, hackathons, and cross-lab rotations spark creativity, backed by diverse EEO policies celebrating all backgrounds.

Engineers thrive in collaborative spaces with standing desks, quiet pods, and VR collaboration tools. Social committees organize Yosemite hikes, Diwali celebrations, and Pride events. With 10% travel fostering global bonds, our culture scales personal impact to enterprise transformation.

Apply Now: Shape the Future of Physical Intelligence

Ready to engineer AI that reasons like humans about the physical world? Submit your CV, publication list, and GitHub showcasing multimodal prototypes. U.S. Citizens, Permanent Residents, or protected individuals preferred due to export controls. Top candidates interview with Lorenz Labs directors, prototype live, and join within weeks.

EEO Statement: Analog Devices is an equal opportunity employer. We celebrate diversity and commit to inclusive hiring.

Frequently Asked Questions

Locations

  • San Jose, California, United States
  • Rio Robles, California, United States

Salary

170,775 - 256,163 USD / yearly

Estimated Salary Rangehigh confidence

170,775 - 256,163 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep Learning Model Developmentintermediate
  • Multimodal Reasoning Frameworksintermediate
  • Transformer-based Modelsintermediate
  • PyTorch Proficiencyintermediate
  • TensorFlow Expertiseintermediate
  • Supervised Fine-Tuningintermediate
  • Post-Training Techniquesintermediate
  • Chain-of-Thought Reasoningintermediate
  • Knowledge Distillationintermediate
  • Time-Series Analysisintermediate
  • Audio Processingintermediate
  • Video Analysisintermediate
  • Agentic Systems Designintermediate
  • LangChain Integrationintermediate
  • LangGraph Orchestrationintermediate
  • Reinforcement Learning GRPOintermediate
  • LLM Evaluation Methodsintermediate
  • Data Annotation Pipelinesintermediate
  • Model Prototypingintermediate
  • Research Publicationintermediate
  • Python Programmingintermediate
  • AI Research Lifecycleintermediate
  • Multimodal Data Integrationintermediate
  • Edge AI Optimizationintermediate
  • Physical Intelligence Modelsintermediate

Required Qualifications

  • PhD in AI, NLP, Computer Vision, or Speech Processing (experience)
  • Strong publication record in NeurIPS, ICML, ICLR (experience)
  • Publications in ACL, NAACL, EMNLP, CVPR, AAAI (experience)
  • Proficiency in transformer-based architectures (experience)
  • Expertise in supervised fine-tuning techniques (experience)
  • Experience with post-training reasoning methods (experience)
  • Hands-on multimodal reasoning model development (experience)
  • Integration of text, audio, video data modalities (experience)
  • Familiarity with Chain-of-Thought prompting (experience)
  • Knowledge of agentic reasoning systems (experience)
  • Experience with LangChain and LangGraph tools (experience)
  • Understanding of reinforcement learning for reasoning (experience)
  • GRPO and similar RL approaches for LLMs (experience)
  • Strong LLM evaluation and benchmarking skills (experience)
  • Full research stack experience from data to deployment (experience)
  • Prototype development in Python environments (experience)
  • Collaboration with cross-domain AI experts (experience)
  • Experience in Edge AI applications (experience)
  • Publication-quality documentation skills (experience)
  • Stakeholder communication and requirement gathering (experience)

Responsibilities

  • Develop deep learning models for multimodal classification
  • Build reasoning models for time-series data analysis
  • Create audio and video reasoning frameworks
  • Engage in complete AI research lifecycle
  • Conduct stakeholder discussions for requirement gathering
  • Perform data collection and annotation tasks
  • Execute data preprocessing and cleaning pipelines
  • Train transformer-based multimodal models
  • Implement rigorous model evaluation protocols
  • Prototype innovative reasoning improvements
  • Apply mid-training optimization techniques
  • Develop post-training enhancement methods
  • Perform knowledge distillation to edge models
  • Transfer capabilities from large to efficient models
  • Document experiments in detailed internal reports
  • Author technical blog posts on research findings
  • Publish papers at top-tier AI conferences
  • Present at workshops and industry events
  • Collaborate with NLP, audio, vision experts
  • Align models with Analog Devices business needs
  • Optimize models for Edge AI deployment
  • Integrate agentic systems with physical intelligence

Benefits

  • general: Competitive salary range $170,775 - $256,163 USD
  • general: Discretionary performance-based bonus program
  • general: Comprehensive medical health coverage
  • general: Vision and dental insurance plans
  • general: 401(k) retirement savings with company match
  • general: Paid vacation time accrual
  • general: Company-paid holidays throughout the year
  • general: Sick time and personal wellness days
  • general: Professional development and training budget
  • general: Tuition reimbursement for advanced degrees
  • general: Stock purchase and equity programs
  • general: Employee stock ownership opportunities
  • general: Flexible work arrangements when possible
  • general: On-site fitness center and wellness programs
  • general: Free shuttle services to/from campus
  • general: Catered meals and snack programs
  • general: Parental leave and family support benefits
  • general: Mental health and counseling services
  • general: Volunteer time off for community service
  • general: Relocation assistance package
  • general: Export licensing support for international talent
  • general: Career growth in Lorenz Labs AI team

Target Your Resume for "Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now" , Analog Devices

Get personalized recommendations to optimize your resume specifically for Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now" , Analog Devices

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Deep Agentic Reasoning EngineerAnalog Devices careersLorenz Labs jobsSan Jose AI jobsPhysical Intelligence AIMultimodal reasoning modelsEdge AI engineerTransformer models PyTorchChain-of-Thought reasoningLangChain developerAI PhD jobs CaliforniaNeurIPS publicationsKnowledge distillation AITime-series AI modelsAgentic systems engineerSilicon Valley AI careersRio Robles tech jobsPhysGPT developmentArtificial Engineer AIICML research positionsCVPR computer vision jobsEmbedded AI optimizationReinforcement learning GRPOArtificial IntelligenceMachine LearningDeep LearningEdge AIResearch EngineerSemiconductors

Answer 10 quick questions to check your fit for Deep Agentic Reasoning Engineer Careers at Analog Devices in San Jose, California | Apply Now @ Analog Devices.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.