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Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now

Analog Devices

Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now

full-timePosted: Feb 2, 2026

Job Description

Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts

Imagine pioneering the future of dexterous robotics at Analog Devices in the heart of Boston, Massachusetts. As a global leader in semiconductor innovation, Analog Devices bridges the physical and digital worlds, enabling breakthroughs at the Intelligent Edge. For over 55 years, we've transformed industries from autonomous vehicles and smart factories to augmented reality and remote healthcare. Now, our Dexterous AI Group seeks exceptional Senior Robot Learning Engineers to develop core AI technologies that push robotic capabilities beyond traditional limits.

In Boston's thriving tech ecosystem, you'll collaborate with the brightest minds to create learning algorithms that deliver generality and dexterity. This isn't just engineering—it's about inventing technologies that make robots think, adapt, and manipulate with human-like precision. From simulation sandboxes to real-world deployment, your work will shape Analog Devices' leadership in AI robotics.

With $9+ billion in FY24 revenue and 24,000 global employees, Analog Devices offers unmatched resources for innovation. Join us to stay Ahead of What's Possible™ while enjoying Boston's world-class innovation hub status.

A Day in the Life of a Senior Robot Learning Engineer in Boston

Your morning begins in Analog Devices' state-of-the-art Boston facility, surrounded by cutting-edge robotics labs. Over coffee from our on-site café, you review overnight simulation results from your latest reinforcement learning experiments. By 9:30 AM, you're diving into PyTorch code, fine-tuning a dexterous manipulation model trained on multi-modal datasets.

Mid-morning brings a cross-functional standup with mechanical engineers, where you discuss sim-to-real transfer challenges for the latest robotic arm prototype. Lunch at Fan Pier offers harbor views while you brainstorm imitation learning approaches with colleagues. Afternoon hours split between developing evaluation frameworks and curating real-world manipulation data from our robotic testbeds.

As the day progresses, you might deploy an updated MPC controller to physical hardware, watching your algorithms enable fluid object grasping. Late afternoon research syncs keep you connected to NeurIPS papers and CoRL breakthroughs. Before heading out, you push code to our shared repository, setting up overnight sim2real training runs. This rhythm of research, implementation, and iteration defines life at the cutting edge of robot learning.

Why Boston, Massachusetts for Your Robotics Career?

Boston stands as America's premier robotics and AI hub, perfectly complementing Analog Devices' innovation mission. Home to MIT, Harvard, and the birthplace of modern robotics, the city pulses with intellectual energy. Our Boston location places you minutes from Kendall Square—the world's densest concentration of biotech and AI startups.

The region's 100+ robotics companies create unparalleled collaboration opportunities. Attend iRobot demos in Bedford, visit Boston Dynamics in Waltham, or network at MassRobotics events. MIT's CSAIL and Harvard's Wyss Institute offer constant seminar streams and potential academic partnerships.

Beyond professional advantages, Boston delivers lifestyle excellence. Walk to work from historic neighborhoods like Back Bay or the Seaport. Enjoy world-class museums, professional sports teams, and four distinct seasons. Cambridge's innovation corridor buzzes with coffee shops hosting impromptu deep learning discussions. With Logan International Airport nearby, your 10% travel requirement connects easily to global robotics conferences.

Massachusetts' tech talent pool ensures you'll work alongside PhDs from top programs. The state's innovation economy—fueled by $5B+ annual VC investment—creates endless growth pathways. Choosing Boston means investing in your robotics career at ground zero for the field.

Career Growth Opportunities

Analog Devices invests heavily in technical leadership development. As Senior Robot Learning Engineer, you'll access our world-class learning platform with courses from reinforcement learning foundations to advanced sim2real techniques. Mentorship from DAG principals accelerates your trajectory toward staff engineer roles.

Our promotion paths reward impact: from Senior to Staff to Principal Engineer, then Technical Lead and Director tracks. Publish your breakthroughs at RSS, ICRA, and NeurIPS—we support conference attendance and provide publication coaching. Lead cross-functional projects integrating your algorithms with ADI's sensor technologies.

Boston's ecosystem amplifies growth. Network with peers at Robotics: Science & Systems, collaborate on DARPA challenges, and contribute to open-source robotics frameworks. Analog Devices' scale provides exposure to production robotics at global factories, drones, and autonomous systems. Your career becomes a launchpad for robotics leadership.

Rewards and Compensation Excellence

Earn $144,000–$198,000 base salary plus performance bonus in this high-impact role. Our total rewards package includes comprehensive medical, dental, and vision coverage. The 401(k) match accelerates wealth-building while unlimited PTO supports work-life balance.

Boston's location premium reflects our commitment to market leadership. Equity grants align your success with company growth (NASDAQ: ADI). Professional development stipends fund conferences, workshops, and advanced certifications. On-site fitness centers, wellness programs, and sustainable commuting benefits enhance daily life.

Parental leave, flexible hours, and remote work options accommodate your lifestyle. Analog Devices' financial stability—with consistent profitability and $9B+ revenue—ensures long-term security. This compensation reflects your expertise in pushing robotic intelligence boundaries.

Innovation Culture at Analog Devices

Our Innovation meets Impact culture empowers engineers to solve humanity's biggest challenges. Flat hierarchies encourage bold ideas; leadership prioritizes technical excellence over politics. The Dexterous AI Group thrives on collaborative problem-solving—daily research syncs replace endless meetings.

Boston's office fosters creativity through open lab spaces, robotic playgrounds, and maker facilities. Cross-disciplinary teams blend ML experts with hardware engineers, sparking unexpected breakthroughs. We celebrate failures as learning opportunities, maintaining psychological safety for risk-taking.

Sustainability drives our mission—your algorithms will optimize factory robots for energy efficiency, reducing global carbon footprints. Diversity fuels innovation; our inclusive culture welcomes varied perspectives. Work alongside PhDs from Caltech, CMU, and ETH Zurich in an environment prioritizing employee success.

Apply Now – Join the Robotics Revolution

Ready to transform robot intelligence at Analog Devices? Our application process moves quickly for top talent. Submit your resume highlighting robot learning publications and PyTorch experience. Research portfolios showcasing sim2real projects receive priority review.

Technical interviews assess reinforcement learning depth, followed by a take-home coding challenge on dexterous manipulation. Final rounds include DAG leadership and cross-functional partners. US export compliance applies; we support licensing for qualified international candidates.

Apply today to shape the future of dexterous AI robotics in Boston, Massachusetts. Spaces fill rapidly—don't miss your chance to lead at Analog Devices.

Apply Now

Frequently Asked Questions

Locations

  • Boston, Massachusetts, United States

Salary

144,000 - 198,000 USD / yearly

Estimated Salary Rangehigh confidence

144,000 - 198,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Reinforcement Learningintermediate
  • Imitation Learningintermediate
  • Robot Manipulationintermediate
  • Planning Algorithmsintermediate
  • Model Predictive Control (MPC)intermediate
  • A* Pathfindingintermediate
  • Nonlinear Optimizationintermediate
  • PyTorch Deep Learningintermediate
  • Multi-modal Datasetsintermediate
  • ROS/ROS2intermediate
  • Mujoco Simulationintermediate
  • Isaac Gymintermediate
  • Foundation Modelsintermediate
  • Large Language Modelsintermediate
  • Robotic Systemsintermediate
  • Mechanical Designintermediate
  • Simulation to Real Transferintermediate
  • Data Curationintermediate
  • Algorithm Evaluationintermediate
  • Machine Learning Researchintermediate
  • Dexterous Roboticsintermediate
  • AI Roboticsintermediate
  • Sandbox Simulationsintermediate

Required Qualifications

  • Master’s degree or equivalent experience in relevant field (experience)
  • Ph.D. preferred in robotics, machine learning, or related discipline (experience)
  • 3+ years research experience in robot learning (experience)
  • Strong background in machine learning and robotics (experience)
  • Expertise in Reinforcement Learning for manipulation (experience)
  • Experience with Imitation Learning techniques (experience)
  • Proficiency in planning and control algorithms like A* and MPC (experience)
  • Skilled in optimization techniques including linear/nonlinear methods (experience)
  • Training deep learning models using PyTorch (experience)
  • Familiarity with large multi-modal datasets and models (experience)
  • Track record of publications in top conferences (RSS, NeurIPS, ICML, ICLR, CoRL, ICRA, IROS) (experience)
  • Experience with robotics toolkits (ROS/ROS2, Mujoco, Isaac) (experience)
  • Knowledge of foundation models and large language models preferred (experience)
  • Understanding of robotic systems and mechanical design preferred (experience)
  • Ability to bridge simulation and real-world performance (experience)

Responsibilities

  • Develop advanced learning algorithms for dexterous robots
  • Implement state-of-the-art techniques in robot learning
  • Create sandbox simulations for algorithm testing
  • Build deployable implementations of learning systems
  • Design evaluation frameworks for algorithm performance
  • Assess robustness of robotic learning systems
  • Define data requirements for robot training
  • Set up data collection procedures and infrastructure
  • Curate high-quality datasets for machine learning
  • Stay current with latest developments in ML and robotics
  • Collaborate with Dexterous AI Group researchers
  • Bridge simulation-to-real performance gaps
  • Optimize algorithms for general robotic dexterity
  • Contribute to publications in top robotics conferences
  • Prototype robotic manipulation capabilities
  • Integrate learning algorithms with robotic hardware

Benefits

  • general: Competitive salary range $144,000 - $198,000
  • general: Discretionary performance-based bonus
  • general: Comprehensive medical coverage
  • general: Vision insurance
  • general: Dental insurance
  • general: 401(k) retirement savings plan
  • general: Paid vacation time
  • general: Paid holidays
  • general: Paid sick time
  • general: Continuous learning opportunities
  • general: Professional development programs
  • general: Sustainable future initiatives
  • general: Collaborative innovation culture
  • general: Work with brightest minds in tech
  • general: Impactful projects in AI robotics
  • general: Global semiconductor leadership exposure

Target Your Resume for "Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now" , Analog Devices

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Senior Robot Learning EngineerAnalog Devices careersrobotics jobs Bostonreinforcement learning engineerdexterous roboticsAI robotics jobsPyTorch roboticsrobot learning researchsim2real transferROS2 engineerMujoco simulationBoston tech jobsMassachusetts roboticsmachine learning roboticsICRA publicationsNeurIPS roboticsrobot manipulationfoundation models roboticssemiconductor AI jobsDexterous AI Grouprobotics PhD jobsMPC roboticsImitation Learning jobsRoboticsAI/MLEngineeringResearchSemiconductors

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Analog Devices logo

Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now

Analog Devices

Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now

full-timePosted: Feb 2, 2026

Job Description

Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts

Imagine pioneering the future of dexterous robotics at Analog Devices in the heart of Boston, Massachusetts. As a global leader in semiconductor innovation, Analog Devices bridges the physical and digital worlds, enabling breakthroughs at the Intelligent Edge. For over 55 years, we've transformed industries from autonomous vehicles and smart factories to augmented reality and remote healthcare. Now, our Dexterous AI Group seeks exceptional Senior Robot Learning Engineers to develop core AI technologies that push robotic capabilities beyond traditional limits.

In Boston's thriving tech ecosystem, you'll collaborate with the brightest minds to create learning algorithms that deliver generality and dexterity. This isn't just engineering—it's about inventing technologies that make robots think, adapt, and manipulate with human-like precision. From simulation sandboxes to real-world deployment, your work will shape Analog Devices' leadership in AI robotics.

With $9+ billion in FY24 revenue and 24,000 global employees, Analog Devices offers unmatched resources for innovation. Join us to stay Ahead of What's Possible™ while enjoying Boston's world-class innovation hub status.

A Day in the Life of a Senior Robot Learning Engineer in Boston

Your morning begins in Analog Devices' state-of-the-art Boston facility, surrounded by cutting-edge robotics labs. Over coffee from our on-site café, you review overnight simulation results from your latest reinforcement learning experiments. By 9:30 AM, you're diving into PyTorch code, fine-tuning a dexterous manipulation model trained on multi-modal datasets.

Mid-morning brings a cross-functional standup with mechanical engineers, where you discuss sim-to-real transfer challenges for the latest robotic arm prototype. Lunch at Fan Pier offers harbor views while you brainstorm imitation learning approaches with colleagues. Afternoon hours split between developing evaluation frameworks and curating real-world manipulation data from our robotic testbeds.

As the day progresses, you might deploy an updated MPC controller to physical hardware, watching your algorithms enable fluid object grasping. Late afternoon research syncs keep you connected to NeurIPS papers and CoRL breakthroughs. Before heading out, you push code to our shared repository, setting up overnight sim2real training runs. This rhythm of research, implementation, and iteration defines life at the cutting edge of robot learning.

Why Boston, Massachusetts for Your Robotics Career?

Boston stands as America's premier robotics and AI hub, perfectly complementing Analog Devices' innovation mission. Home to MIT, Harvard, and the birthplace of modern robotics, the city pulses with intellectual energy. Our Boston location places you minutes from Kendall Square—the world's densest concentration of biotech and AI startups.

The region's 100+ robotics companies create unparalleled collaboration opportunities. Attend iRobot demos in Bedford, visit Boston Dynamics in Waltham, or network at MassRobotics events. MIT's CSAIL and Harvard's Wyss Institute offer constant seminar streams and potential academic partnerships.

Beyond professional advantages, Boston delivers lifestyle excellence. Walk to work from historic neighborhoods like Back Bay or the Seaport. Enjoy world-class museums, professional sports teams, and four distinct seasons. Cambridge's innovation corridor buzzes with coffee shops hosting impromptu deep learning discussions. With Logan International Airport nearby, your 10% travel requirement connects easily to global robotics conferences.

Massachusetts' tech talent pool ensures you'll work alongside PhDs from top programs. The state's innovation economy—fueled by $5B+ annual VC investment—creates endless growth pathways. Choosing Boston means investing in your robotics career at ground zero for the field.

Career Growth Opportunities

Analog Devices invests heavily in technical leadership development. As Senior Robot Learning Engineer, you'll access our world-class learning platform with courses from reinforcement learning foundations to advanced sim2real techniques. Mentorship from DAG principals accelerates your trajectory toward staff engineer roles.

Our promotion paths reward impact: from Senior to Staff to Principal Engineer, then Technical Lead and Director tracks. Publish your breakthroughs at RSS, ICRA, and NeurIPS—we support conference attendance and provide publication coaching. Lead cross-functional projects integrating your algorithms with ADI's sensor technologies.

Boston's ecosystem amplifies growth. Network with peers at Robotics: Science & Systems, collaborate on DARPA challenges, and contribute to open-source robotics frameworks. Analog Devices' scale provides exposure to production robotics at global factories, drones, and autonomous systems. Your career becomes a launchpad for robotics leadership.

Rewards and Compensation Excellence

Earn $144,000–$198,000 base salary plus performance bonus in this high-impact role. Our total rewards package includes comprehensive medical, dental, and vision coverage. The 401(k) match accelerates wealth-building while unlimited PTO supports work-life balance.

Boston's location premium reflects our commitment to market leadership. Equity grants align your success with company growth (NASDAQ: ADI). Professional development stipends fund conferences, workshops, and advanced certifications. On-site fitness centers, wellness programs, and sustainable commuting benefits enhance daily life.

Parental leave, flexible hours, and remote work options accommodate your lifestyle. Analog Devices' financial stability—with consistent profitability and $9B+ revenue—ensures long-term security. This compensation reflects your expertise in pushing robotic intelligence boundaries.

Innovation Culture at Analog Devices

Our Innovation meets Impact culture empowers engineers to solve humanity's biggest challenges. Flat hierarchies encourage bold ideas; leadership prioritizes technical excellence over politics. The Dexterous AI Group thrives on collaborative problem-solving—daily research syncs replace endless meetings.

Boston's office fosters creativity through open lab spaces, robotic playgrounds, and maker facilities. Cross-disciplinary teams blend ML experts with hardware engineers, sparking unexpected breakthroughs. We celebrate failures as learning opportunities, maintaining psychological safety for risk-taking.

Sustainability drives our mission—your algorithms will optimize factory robots for energy efficiency, reducing global carbon footprints. Diversity fuels innovation; our inclusive culture welcomes varied perspectives. Work alongside PhDs from Caltech, CMU, and ETH Zurich in an environment prioritizing employee success.

Apply Now – Join the Robotics Revolution

Ready to transform robot intelligence at Analog Devices? Our application process moves quickly for top talent. Submit your resume highlighting robot learning publications and PyTorch experience. Research portfolios showcasing sim2real projects receive priority review.

Technical interviews assess reinforcement learning depth, followed by a take-home coding challenge on dexterous manipulation. Final rounds include DAG leadership and cross-functional partners. US export compliance applies; we support licensing for qualified international candidates.

Apply today to shape the future of dexterous AI robotics in Boston, Massachusetts. Spaces fill rapidly—don't miss your chance to lead at Analog Devices.

Apply Now

Frequently Asked Questions

Locations

  • Boston, Massachusetts, United States

Salary

144,000 - 198,000 USD / yearly

Estimated Salary Rangehigh confidence

144,000 - 198,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Reinforcement Learningintermediate
  • Imitation Learningintermediate
  • Robot Manipulationintermediate
  • Planning Algorithmsintermediate
  • Model Predictive Control (MPC)intermediate
  • A* Pathfindingintermediate
  • Nonlinear Optimizationintermediate
  • PyTorch Deep Learningintermediate
  • Multi-modal Datasetsintermediate
  • ROS/ROS2intermediate
  • Mujoco Simulationintermediate
  • Isaac Gymintermediate
  • Foundation Modelsintermediate
  • Large Language Modelsintermediate
  • Robotic Systemsintermediate
  • Mechanical Designintermediate
  • Simulation to Real Transferintermediate
  • Data Curationintermediate
  • Algorithm Evaluationintermediate
  • Machine Learning Researchintermediate
  • Dexterous Roboticsintermediate
  • AI Roboticsintermediate
  • Sandbox Simulationsintermediate

Required Qualifications

  • Master’s degree or equivalent experience in relevant field (experience)
  • Ph.D. preferred in robotics, machine learning, or related discipline (experience)
  • 3+ years research experience in robot learning (experience)
  • Strong background in machine learning and robotics (experience)
  • Expertise in Reinforcement Learning for manipulation (experience)
  • Experience with Imitation Learning techniques (experience)
  • Proficiency in planning and control algorithms like A* and MPC (experience)
  • Skilled in optimization techniques including linear/nonlinear methods (experience)
  • Training deep learning models using PyTorch (experience)
  • Familiarity with large multi-modal datasets and models (experience)
  • Track record of publications in top conferences (RSS, NeurIPS, ICML, ICLR, CoRL, ICRA, IROS) (experience)
  • Experience with robotics toolkits (ROS/ROS2, Mujoco, Isaac) (experience)
  • Knowledge of foundation models and large language models preferred (experience)
  • Understanding of robotic systems and mechanical design preferred (experience)
  • Ability to bridge simulation and real-world performance (experience)

Responsibilities

  • Develop advanced learning algorithms for dexterous robots
  • Implement state-of-the-art techniques in robot learning
  • Create sandbox simulations for algorithm testing
  • Build deployable implementations of learning systems
  • Design evaluation frameworks for algorithm performance
  • Assess robustness of robotic learning systems
  • Define data requirements for robot training
  • Set up data collection procedures and infrastructure
  • Curate high-quality datasets for machine learning
  • Stay current with latest developments in ML and robotics
  • Collaborate with Dexterous AI Group researchers
  • Bridge simulation-to-real performance gaps
  • Optimize algorithms for general robotic dexterity
  • Contribute to publications in top robotics conferences
  • Prototype robotic manipulation capabilities
  • Integrate learning algorithms with robotic hardware

Benefits

  • general: Competitive salary range $144,000 - $198,000
  • general: Discretionary performance-based bonus
  • general: Comprehensive medical coverage
  • general: Vision insurance
  • general: Dental insurance
  • general: 401(k) retirement savings plan
  • general: Paid vacation time
  • general: Paid holidays
  • general: Paid sick time
  • general: Continuous learning opportunities
  • general: Professional development programs
  • general: Sustainable future initiatives
  • general: Collaborative innovation culture
  • general: Work with brightest minds in tech
  • general: Impactful projects in AI robotics
  • general: Global semiconductor leadership exposure

Target Your Resume for "Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now" , Analog Devices

Get personalized recommendations to optimize your resume specifically for Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | 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

Senior Robot Learning EngineerAnalog Devices careersrobotics jobs Bostonreinforcement learning engineerdexterous roboticsAI robotics jobsPyTorch roboticsrobot learning researchsim2real transferROS2 engineerMujoco simulationBoston tech jobsMassachusetts roboticsmachine learning roboticsICRA publicationsNeurIPS roboticsrobot manipulationfoundation models roboticssemiconductor AI jobsDexterous AI Grouprobotics PhD jobsMPC roboticsImitation Learning jobsRoboticsAI/MLEngineeringResearchSemiconductors

Answer 10 quick questions to check your fit for Senior Robot Learning Engineer Careers at Analog Devices in Boston, Massachusetts | Apply Now @ Analog Devices.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.