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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 | Join Lorenz Labs Revolution

Overview: Pioneering AI at the Intelligent Edge with Analog Devices

Analog Devices stands as a global semiconductor powerhouse, bridging physical and digital realms to power breakthroughs at the Intelligent Edge. With over $9 billion in FY24 revenue and 24,000 innovators worldwide, we're at the forefront of digitized factories, mobility solutions, digital healthcare, climate change mitigation, and seamless human-world connectivity. At Lorenz Labs, our Deep Agentic Reasoning Engineer role in San Jose, California and Rio Robles, California invites visionary AI researchers to craft multimodal reasoning models that transform Edge AI applications.

This position demands expertise in designing systems that process time-series data, audio signals, video streams, and text simultaneously, enabling agentic behaviors in resource-constrained environments. Imagine developing models that not only classify but reason—like an autonomous system deciding optimal factory maintenance from sensor vibrations, audio anomalies, and visual inspections. Collaborating with domain leaders in AI, natural language processing, audio engineering, and time-series analysis, you'll align cutting-edge research with Analog Devices' mission to keep innovators Ahead of What's Possible™.

San Jose, California, the heart of Silicon Valley, and nearby Rio Robles, California offer unparalleled ecosystems for tech talent. Here, you'll thrive amid world-class research facilities, contributing to publications in NeurIPS, ICML, and CVPR while prototyping deployable Edge solutions. This isn't just engineering; it's architecting the future of intelligent systems where reasoning meets real-world impact.

A Day in the Life of a Deep Agentic Reasoning Engineer at Lorenz Labs

Your morning begins in San Jose's vibrant innovation hub, diving into stakeholder syncs with product teams outlining Edge AI needs for automotive sensing or medical diagnostics. By 10 AM, you're curating multimodal datasets—fusing industrial time-series from accelerometers, audio from machinery, and video from drones—using advanced annotation tools.

Midday involves model experimentation in PyTorch: fine-tuning transformer architectures with Chain-of-Thought prompting to enhance reasoning over sequential data. Lunch sparks ideas in cross-functional discussions, perhaps debating GRPO reinforcement learning for agentic orchestration via LangGraph.

Afternoons focus on evaluation—rigorous benchmarks comparing your distilled Edge models against behemoth LLMs. You iterate on post-training alignments, ensuring safety and efficiency. Evenings wrap with documentation: drafting a blog on multimodal CoT or prepping a workshop paper. With 10% travel to Boston or global sites, your impact spans continents, blending deep research with tangible deployments.

Why San Jose and Rio Robles, California? Silicon Valley's AI Epicenter

San Jose, California pulses with Silicon Valley energy, home to tech giants and startup unicorns driving AI evolution. Proximity to Stanford and UC Berkeley fuels talent pipelines, while events like CVPR keep you connected to global thought leaders. Rio Robles, California complements with serene innovation spaces amid California's tech corridor, offering work-life balance without sacrificing access to venture capital and collaborations.

California's diverse culture, Mediterranean climate, and outdoor pursuits—from Santa Cruz beaches to Yosemite hikes—recharge your creativity. With Analog Devices' state-of-the-art labs, you'll leverage world-class compute clusters and sensor testbeds unavailable elsewhere. This location isn't just a workplace; it's a launchpad for AI careers shaping tomorrow's intelligent edge.

Career Growth: From Research to AI Leadership

Analog Devices invests in your trajectory. Junior engineers rapidly advance through mentorship, tackling high-impact projects leading to first-author publications. Mid-career experts lead agentic AI teams, influencing product roadmaps. Senior roles shape Lorenz Labs strategy, bridging academia and industry.

Access tuition reimbursement, conference funding, and internal AI summits. Our alumni helm AI divisions at Fortune 500s or found successful ventures. With clear promotion paths and equity stakes, your growth mirrors our $9B+ enterprise momentum.

Rewards: Exceptional Compensation and Benefits Package

Base salaries range $170,775-$256,163 USD, plus performance bonuses tied to innovations and business wins. Full medical, dental, vision coverage; 401k matching; generous PTO, holidays, and sick leave round out perks. Equity grants align you with long-term success, while wellness programs support holistic thriving.

Culture: Inclusive Innovation at Analog Devices

We champion diversity—regardless of background, everyone succeeds. Lorenz Labs fosters psychological safety for bold ideas, with hackathons, AI ethics forums, and global ERGs. Our 24,000-strong community values work-life harmony, remote flexibility, and continuous learning in a judgmental-free zone.

Apply Now: Shape the Future of Agentic AI

Ready to pioneer Deep Agentic Reasoning? Submit your CV, publication list, and GitHub showcasing multimodal projects. U.S. export compliance applies; we support the process. Join us in San Jose or Rio Robles, California—be part of Analog Devices' legacy.

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 Modelsintermediate
  • Transformer-based Architecturesintermediate
  • PyTorch Proficiencyintermediate
  • TensorFlow Expertiseintermediate
  • Supervised Fine-Tuningintermediate
  • Post-Training Techniquesintermediate
  • Chain-of-Thought Reasoningintermediate
  • Knowledge Distillationintermediate
  • LLM Evaluation Methodsintermediate
  • Time-Series Data Processingintermediate
  • Audio Signal Processingintermediate
  • Video Analysis Frameworksintermediate
  • NLP Model Buildingintermediate
  • Computer Vision Applicationsintermediate
  • Agentic AI Systemsintermediate
  • LangChain Integrationintermediate
  • LangGraph Orchestrationintermediate
  • Reinforcement Learning GRPOintermediate
  • Data Annotation Pipelinesintermediate
  • Model Prototypingintermediate
  • Research Publicationintermediate
  • Stakeholder Collaborationintermediate
  • Edge AI Optimizationintermediate
  • Python Programmingintermediate
  • AI Research Lifecycleintermediate

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 models (experience)
  • Expertise in supervised fine-tuning techniques (experience)
  • Experience with post-training reasoning methods (experience)
  • Hands-on multimodal reasoning model development (experience)
  • Familiarity with Chain-of-Thought (CoT) prompting (experience)
  • Knowledge of knowledge distillation processes (experience)
  • Experience integrating text, audio, video data (experience)
  • Understanding of agentic reasoning frameworks (experience)
  • Proficiency with LangChain and LangGraph tools (experience)
  • Background in reinforcement learning for reasoning (experience)
  • Strong LLM evaluation technique knowledge (experience)
  • Full research stack experience from data to deployment (experience)
  • Python development for AI prototypes (experience)

Responsibilities

  • Design multimodal reasoning models for Edge AI
  • Build deep learning models for classification tasks
  • Evaluate model performance rigorously
  • Engage in full AI research lifecycle
  • Conduct stakeholder requirement discussions
  • Collect and annotate multimodal datasets
  • Preprocess time-series, audio, video data
  • Train transformer-based reasoning models
  • Prototype solutions in Python with PyTorch/TensorFlow
  • Implement mid-training reasoning improvements
  • Apply post-training optimization techniques
  • Develop knowledge distillation pipelines
  • Transfer capabilities from large to edge models
  • Document experiments in internal reports
  • Author technical blog posts on AI advancements
  • Publish research in top-tier conferences
  • Collaborate with AI, NLP, audio domain experts
  • Align models with Analog Devices business needs
  • Innovate agentic systems for intelligent edge
  • Optimize models for real-world deployment

Benefits

  • general: Competitive salary $170,775 - $256,163 USD
  • general: Discretionary performance-based bonus
  • general: Comprehensive medical coverage
  • general: Vision and dental insurance
  • general: 401k retirement savings plan
  • general: Paid vacation time
  • general: Company-paid holidays
  • general: Sick time allowance
  • general: Professional development opportunities
  • general: Cutting-edge AI research access
  • general: Collaborative innovation culture
  • general: Global team environment
  • general: 10% travel opportunities
  • general: Export licensing support
  • general: Equal opportunity employment
  • general: Diverse and inclusive workplace
  • general: Career growth in semiconductor AI
  • general: Stock purchase programs
  • general: Wellness and fitness benefits
  • general: Flexible work arrangements
  • general: Tuition reimbursement

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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 | Join Lorenz Labs Revolution

Overview: Pioneering AI at the Intelligent Edge with Analog Devices

Analog Devices stands as a global semiconductor powerhouse, bridging physical and digital realms to power breakthroughs at the Intelligent Edge. With over $9 billion in FY24 revenue and 24,000 innovators worldwide, we're at the forefront of digitized factories, mobility solutions, digital healthcare, climate change mitigation, and seamless human-world connectivity. At Lorenz Labs, our Deep Agentic Reasoning Engineer role in San Jose, California and Rio Robles, California invites visionary AI researchers to craft multimodal reasoning models that transform Edge AI applications.

This position demands expertise in designing systems that process time-series data, audio signals, video streams, and text simultaneously, enabling agentic behaviors in resource-constrained environments. Imagine developing models that not only classify but reason—like an autonomous system deciding optimal factory maintenance from sensor vibrations, audio anomalies, and visual inspections. Collaborating with domain leaders in AI, natural language processing, audio engineering, and time-series analysis, you'll align cutting-edge research with Analog Devices' mission to keep innovators Ahead of What's Possible™.

San Jose, California, the heart of Silicon Valley, and nearby Rio Robles, California offer unparalleled ecosystems for tech talent. Here, you'll thrive amid world-class research facilities, contributing to publications in NeurIPS, ICML, and CVPR while prototyping deployable Edge solutions. This isn't just engineering; it's architecting the future of intelligent systems where reasoning meets real-world impact.

A Day in the Life of a Deep Agentic Reasoning Engineer at Lorenz Labs

Your morning begins in San Jose's vibrant innovation hub, diving into stakeholder syncs with product teams outlining Edge AI needs for automotive sensing or medical diagnostics. By 10 AM, you're curating multimodal datasets—fusing industrial time-series from accelerometers, audio from machinery, and video from drones—using advanced annotation tools.

Midday involves model experimentation in PyTorch: fine-tuning transformer architectures with Chain-of-Thought prompting to enhance reasoning over sequential data. Lunch sparks ideas in cross-functional discussions, perhaps debating GRPO reinforcement learning for agentic orchestration via LangGraph.

Afternoons focus on evaluation—rigorous benchmarks comparing your distilled Edge models against behemoth LLMs. You iterate on post-training alignments, ensuring safety and efficiency. Evenings wrap with documentation: drafting a blog on multimodal CoT or prepping a workshop paper. With 10% travel to Boston or global sites, your impact spans continents, blending deep research with tangible deployments.

Why San Jose and Rio Robles, California? Silicon Valley's AI Epicenter

San Jose, California pulses with Silicon Valley energy, home to tech giants and startup unicorns driving AI evolution. Proximity to Stanford and UC Berkeley fuels talent pipelines, while events like CVPR keep you connected to global thought leaders. Rio Robles, California complements with serene innovation spaces amid California's tech corridor, offering work-life balance without sacrificing access to venture capital and collaborations.

California's diverse culture, Mediterranean climate, and outdoor pursuits—from Santa Cruz beaches to Yosemite hikes—recharge your creativity. With Analog Devices' state-of-the-art labs, you'll leverage world-class compute clusters and sensor testbeds unavailable elsewhere. This location isn't just a workplace; it's a launchpad for AI careers shaping tomorrow's intelligent edge.

Career Growth: From Research to AI Leadership

Analog Devices invests in your trajectory. Junior engineers rapidly advance through mentorship, tackling high-impact projects leading to first-author publications. Mid-career experts lead agentic AI teams, influencing product roadmaps. Senior roles shape Lorenz Labs strategy, bridging academia and industry.

Access tuition reimbursement, conference funding, and internal AI summits. Our alumni helm AI divisions at Fortune 500s or found successful ventures. With clear promotion paths and equity stakes, your growth mirrors our $9B+ enterprise momentum.

Rewards: Exceptional Compensation and Benefits Package

Base salaries range $170,775-$256,163 USD, plus performance bonuses tied to innovations and business wins. Full medical, dental, vision coverage; 401k matching; generous PTO, holidays, and sick leave round out perks. Equity grants align you with long-term success, while wellness programs support holistic thriving.

Culture: Inclusive Innovation at Analog Devices

We champion diversity—regardless of background, everyone succeeds. Lorenz Labs fosters psychological safety for bold ideas, with hackathons, AI ethics forums, and global ERGs. Our 24,000-strong community values work-life harmony, remote flexibility, and continuous learning in a judgmental-free zone.

Apply Now: Shape the Future of Agentic AI

Ready to pioneer Deep Agentic Reasoning? Submit your CV, publication list, and GitHub showcasing multimodal projects. U.S. export compliance applies; we support the process. Join us in San Jose or Rio Robles, California—be part of Analog Devices' legacy.

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 Modelsintermediate
  • Transformer-based Architecturesintermediate
  • PyTorch Proficiencyintermediate
  • TensorFlow Expertiseintermediate
  • Supervised Fine-Tuningintermediate
  • Post-Training Techniquesintermediate
  • Chain-of-Thought Reasoningintermediate
  • Knowledge Distillationintermediate
  • LLM Evaluation Methodsintermediate
  • Time-Series Data Processingintermediate
  • Audio Signal Processingintermediate
  • Video Analysis Frameworksintermediate
  • NLP Model Buildingintermediate
  • Computer Vision Applicationsintermediate
  • Agentic AI Systemsintermediate
  • LangChain Integrationintermediate
  • LangGraph Orchestrationintermediate
  • Reinforcement Learning GRPOintermediate
  • Data Annotation Pipelinesintermediate
  • Model Prototypingintermediate
  • Research Publicationintermediate
  • Stakeholder Collaborationintermediate
  • Edge AI Optimizationintermediate
  • Python Programmingintermediate
  • AI Research Lifecycleintermediate

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 models (experience)
  • Expertise in supervised fine-tuning techniques (experience)
  • Experience with post-training reasoning methods (experience)
  • Hands-on multimodal reasoning model development (experience)
  • Familiarity with Chain-of-Thought (CoT) prompting (experience)
  • Knowledge of knowledge distillation processes (experience)
  • Experience integrating text, audio, video data (experience)
  • Understanding of agentic reasoning frameworks (experience)
  • Proficiency with LangChain and LangGraph tools (experience)
  • Background in reinforcement learning for reasoning (experience)
  • Strong LLM evaluation technique knowledge (experience)
  • Full research stack experience from data to deployment (experience)
  • Python development for AI prototypes (experience)

Responsibilities

  • Design multimodal reasoning models for Edge AI
  • Build deep learning models for classification tasks
  • Evaluate model performance rigorously
  • Engage in full AI research lifecycle
  • Conduct stakeholder requirement discussions
  • Collect and annotate multimodal datasets
  • Preprocess time-series, audio, video data
  • Train transformer-based reasoning models
  • Prototype solutions in Python with PyTorch/TensorFlow
  • Implement mid-training reasoning improvements
  • Apply post-training optimization techniques
  • Develop knowledge distillation pipelines
  • Transfer capabilities from large to edge models
  • Document experiments in internal reports
  • Author technical blog posts on AI advancements
  • Publish research in top-tier conferences
  • Collaborate with AI, NLP, audio domain experts
  • Align models with Analog Devices business needs
  • Innovate agentic systems for intelligent edge
  • Optimize models for real-world deployment

Benefits

  • general: Competitive salary $170,775 - $256,163 USD
  • general: Discretionary performance-based bonus
  • general: Comprehensive medical coverage
  • general: Vision and dental insurance
  • general: 401k retirement savings plan
  • general: Paid vacation time
  • general: Company-paid holidays
  • general: Sick time allowance
  • general: Professional development opportunities
  • general: Cutting-edge AI research access
  • general: Collaborative innovation culture
  • general: Global team environment
  • general: 10% travel opportunities
  • general: Export licensing support
  • general: Equal opportunity employment
  • general: Diverse and inclusive workplace
  • general: Career growth in semiconductor AI
  • general: Stock purchase programs
  • general: Wellness and fitness benefits
  • general: Flexible work arrangements
  • general: Tuition reimbursement

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 jobsAI Engineer San JoseMultimodal AI modelsEdge AI CaliforniaTransformer reasoningChain-of-Thought promptingPyTorch TensorFlow jobsPhD AI researchNeurIPS publicationsKnowledge distillationLangChain LangGraphReinforcement learning GRPOSilicon Valley AI careersTime-series audio video AISemiconductor AI engineerIntelligent Edge jobsNLP Computer VisionAgentic systems developerSan Jose tech jobsRio Robles engineeringAI startup researchArtificial IntelligenceMachine LearningDeep LearningResearch EngineerSemiconductorsEdge Computing

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.