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Principal Engineer - Physical AI, Consumer TIC

UL Solutions

Northbrook, Illinois • Today

Full-time

USD 155,000.00 - 250,000.00 per year

Principal Engineer - Digital AI, Consumer TIC

UL Solutions

Northbrook, Illinois • Today

Full-time

USD 155,000.00 - 250,000.00 per year

Principal Architect - AI Engineer

United Airlines

Chicago, Illinois • Today

Full-time

Principal Cloud Engineer AI

Bank of Montreal

Chicago, Illinois • Today

Full-time

USD 120,000.00 - 250,000.00 per year

Principal Physical AI and Digital Twin Architect

Centraprise Corp

Remote • 2d ago

Easy Apply

Full-time

100,000 - 150,000

Principal Engineer, AI Platform

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 242,634.00 - 499,541.00 per year

Principal AI ENGINEER

PY DATA, INC.

Remote • Today

Easy Apply

Contract

85 - 100

Principal AI Engineer

CVS Health

Remote or Texas • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Principal Engineer, Technology Transformation & AI Enablement

CVS Health

Remote or Rhode Island • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Principal AI Engineer

McKesson Corporation

Remote or Columbus, Ohio • Today

Full-time

USD 195,000.00 - 325,000.00 per year

Principal Ai Engineer (Remote in CT)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$180000 - $245000

Principal AI Platform Engineer

M&T BANK CORPORATION

Remote • Today

Full-time

USD 139,700.00 - 232,900.00 per year

AI Solution/Principal Engineer

EPAM Systems

Remote • Today

Full-time

Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving

Netflix, Inc.

Remote • Today

Full-time

Compensation information provided in the description

Sr Principal AI/ML Engineer: Office-Based preferred, will consider Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 184,600.00 - 316,500.00 per year

Senior/Principal RAN Digital Twin & AI Simulation Engineer

Parallel Wireless

Remote • Today

Full-time

Principal Data Scientist, Director (Chicago)

Fitch Group

Chicago, Illinois • Today

Full-time

USD 180,000.00 - 200,000.00 per year

Principal Data Scientist, Director (Chicago)

Fitch Group

Chicago, Illinois • Today

Full-time

USD 180,000.00 - 200,000.00 per year

Staff Software Engineer - ML/AI

The Chamberlain Group

Oak Brook, Illinois • Today

Full-time

USD 148,912.00 - 254,054.00 per year

Principal AI Engineer

Cotiviti

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Principal AI Architect

Talent Groups

Remote • Today

Easy Apply

Contract

Depends on Experience

Principal AI Architect

Oscar Technology

Remote • Today

Easy Apply

Full-time

$275000 - $300000 per annum

Principal AI Architect

CVS Health

Remote or Colorado • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Principal AI Architect

Robots and Pencils

Remote • Today

Full-time

USD 165,604.00 - 228,491.00 per year

Principal Data Scientist - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Member of Technical Staff, Agentic AI Architect

Micron Technology, Inc.

Remote or Idaho • Today

Full-time

Member of Technical Staff, Agentic AI Architect

Micron Technology, Inc.

Remote or Boise, Idaho • 8d ago

Full-time

Principal Data Scientist - R01568403

Brillio, LLC

Remote or Edison, New Jersey • Today

Full-time

USD 180,000.00 - 190,000.00 per year

Principal Engineer, Big Data Platform

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 242,634.00 - 499,541.00 per year

Principal Data Scientist - Consumer

Gopuff

Remote • Today

Full-time

USD 180,000.00 - 240,000.00 per year

Job Details

Skills

IT Management
Emerging Technologies
Program Evaluation
Decision-making
Supervision
Research and Development
Innovation
Sales
Marketing
Global Delivery
Training
Electrical Engineering
Computer Engineering
Mechanical Engineering
Embedded Systems
Management
Sensors
Fusion
SAFE
Risk Management
Cyber Security
Technical Writing
Presentations
Stakeholder Engagement
Computer Science
Systems Engineering
Machine Learning (ML)
Robotics
Artificial Intelligence
Risk Assessment
Testing
Evaluation
Computer Hardware
Automated Testing
Publications
Customer Facing
Thought Leadership
Finance

IT Management
Emerging Technologies
Program Evaluation
Decision-making
Supervision
Research and Development
Innovation
Sales
Marketing
Global Delivery
Training
Electrical Engineering
Computer Engineering
Mechanical Engineering
Embedded Systems
Management
Sensors
Fusion
SAFE
Risk Management
Cyber Security
Technical Writing
Presentations
Stakeholder Engagement
Computer Science
Systems Engineering
Machine Learning (ML)
Robotics
Artificial Intelligence
Risk Assessment
Testing
Evaluation
Computer Hardware
Automated Testing
Publications
Customer Facing
Thought Leadership
Finance

Summary

Job Description

Principal Engineer - Physical AI, Consumer TIC serves as the Global Subject Matter Expert for AI-enabled physical products and cyber-physical systems, enabling UL Solutions to develop standards, certification, assurance, testing, advisory, and training services for emerging Physical AI technologies. This role provides technical leadership for AI assurance embodied in products served by Consumer TIC, for example, robotics, humanoids, consumer and professional service robots, autonomous systems, drones, smart mobility, medical and laboratory systems, edge AI, embodied AI agents, and connected intelligent products. The position contributes significantly to UL Solutions' AI standards and services portfolio by transforming emerging technologies, regulations, and market needs into scalable safety and trustworthiness solutions.

This is a hybrid role requiring 3 days onsite at any UL location globally. Remote work will be considered for candidates not local to a UL office.

Responsibilities

Develop standards, certification and verification programs, assessment methodologies, test requirements, and technical criteria for AI-enabled physical products. Translate emerging regulations and industry needs into practical, testable, and auditable requirements.
Define and apply methods to evaluate system behavior in real-world and foreseeable-use scenarios, including intended use and misuse, operational design domain, perception and sensing limits, decision-making, navigation and task execution, human interaction, supervision and override, fail-safe and safe-state behavior, minimum-risk conditions, robustness, reliability, and lifecycle changes. Identify failure modes and assess whether technical and operational countermeasures reduce risk, collaborating with R&D and Innovation.
Develop and launch customer-facing offerings such as Physical AI readiness assessments, robotics and autonomy evaluations, embodied AI assessments, advisory engagements, training programs, and certification pathways. Partner with business leaders, product managers, operations, sales, marketing, and customers to convert market needs into scalable solutions and measurable portfolio growth.
Serve as a trusted technical advisor to strategic customers, regulators, standards organizations, and industry forums. Represent UL Solutions through technical committees, publications, conferences, and regulatory engagement.
Build consistent global delivery capability through evaluator competency frameworks, training, technical guidance, test procedures, and operational transfer mechanisms.

Qualifications

Required:

Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Mechanical Engineering, Systems Engineering, Artificial Intelligence, Computer Science, or a related technical discipline.
15+ years of technical experience in robotics, autonomous systems, embedded systems, cyber-physical systems, product safety, functional safety, controls, AI-enabled products, or related engineering domains, including 5+ years of direct experience with AI-enabled physical systems, robotics, autonomy, or machine-learning-enabled products.
Demonstrated hands-on experience developing, integrating, evaluating, testing, or validating AI-enabled physical systems, autonomous technologies, robotics, or cyber-physical systems operating in real-world environments.
Demonstrated knowledge of Physical AI technologies, failure modes, hazards, risks, and evaluation methodologies, including perception and classification errors, sensor-fusion failures, unsafe autonomous behaviors, human-machine interaction hazards, operational design domain exceedance, automation boundary violations, cybersecurity-induced behaviors, model degradation, environmental variability, fail-safe behavior, safe-state operation, minimum-risk conditions, and assessment of risk-mitigation controls.
Familiarity with applicable robotics, machinery, product safety, functional safety, cybersecurity, and AI governance standards or regulatory frameworks.
Strong technical writing, presentation, and stakeholder engagement capabilities, with the ability to communicate complex system risks and evidence expectations to technical, business, regulatory, and customer audiences.

Preferred Experience

Advanced degree in robotics, computer science, controls, systems engineering, AI/ML, or a related technical discipline.
Experience with one or more Physical AI application areas, such as humanoid or service robots, collaborative or industrial robots, autonomous mobile robots, drones, smart mobility, AI-enabled medical or laboratory systems, intelligent appliances, smart buildings, or other connected products.
Demonstrated ability to translate technical hazards, risk assessments, regulatory expectations, or standards requirements into practical evaluation criteria, testing approaches, risk controls, assurance frameworks, certification programs, and customer-facing solutions.
Experience with scenario-based, evidence-based, simulation-based, or virtual validation methods, including edge-case testing, foreseeable-misuse testing, robustness and reliability evaluation, software-in-the-loop, hardware-in-the-loop, digital twins, virtual commissioning, test automation, and post-deployment monitoring.
Experience participating in standards committees, regulatory forums, industry consortia, technical publications, or customer-facing thought leadership.
Demonstrated ability to influence customers, regulators, standards bodies, engineering teams, operations, and cross-functional business leaders.

What we offer:

US Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000-$250,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10288212
Position Id: d10aab0bb864fa853204266177592694
Posted 30+ days ago

Fitment

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Northbrook, Illinois

•

Today

Job Description Principal Engineer - Digital AI, Consumer TIC serves as the Global Subject Matter Expert for Digital AI technologies, enabling UL Solutions to develop standards, certification, assurance, training, advisory, and assessment services across digital AI systems. This role provides technical leadership for AI governance, enterprise and cloud AI, predictive and Generative AI, foundation and frontier models, AI agents and agentic workflows, multi-agent systems, and AI lifecycle assuran

Full-time

USD 155,000.00 - 250,000.00 per year

Engineer - Physical AI

Hoffman Estates, Illinois

•

Today

Who You Are In this role as our Engineer (Physical AI) you will be responsible for supporting FANUC robot products in the areas of physical AI, external motion control, virtual commissioning & digital twin technologies for both internal and external customers. You will manage, organize, and administer high level software & controls expertise while assisting FANUC District Managers with various sales support requests to enable continued regional unit and profit growth. You need to exhibit a str

Full-time

USD 83,716.00 - 135,062.00 per year

Senior Architect, Physical AI and Robotics

Remote

•

Today

Grid Dynamics (NASDAQ:GDYN) is looking for a Senior Architect, Physical AI and Robotics to lead internal product engineering and major programs around Physical AI and Autonomous Robotics with Fortune 1000 clients. We are looking for a result-oriented thought-leader to design Physical AI and Autonomous Robotics platforms, guide their implementation, and collaborate with clients and technology partners. Essential functions R&D and Technology Strategy: Create and bring to the market solutions in p

Full-time

AI Engineer

Maryland

•

Today

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is looking for an amazingly talented AI Engineer to join our t

Full-time

USD 148,300.00 - 266,900.00 per year

Job Details

Skills

IT Management
Emerging Technologies
Program Evaluation
Decision-making
Supervision
Research and Development
Innovation
Sales
Marketing
Global Delivery
Training
Electrical Engineering
Computer Engineering
Mechanical Engineering
Embedded Systems
Management
Sensors
Fusion
SAFE
Risk Management
Cyber Security
Technical Writing
Presentations
Stakeholder Engagement
Computer Science
Systems Engineering
Machine Learning (ML)
Robotics
Artificial Intelligence
Risk Assessment
Testing
Evaluation
Computer Hardware
Automated Testing
Publications
Customer Facing
Thought Leadership
Finance

IT Management
Emerging Technologies
Program Evaluation
Decision-making
Supervision
Research and Development
Innovation
Sales
Marketing
Global Delivery
Training
Electrical Engineering
Computer Engineering
Mechanical Engineering
Embedded Systems
Management
Sensors
Fusion
SAFE
Risk Management
Cyber Security
Technical Writing
Presentations
Stakeholder Engagement
Computer Science
Systems Engineering
Machine Learning (ML)
Robotics
Artificial Intelligence
Risk Assessment
Testing
Evaluation
Computer Hardware
Automated Testing
Publications
Customer Facing
Thought Leadership
Finance

Summary

Develop standards, certification and verification programs, assessment methodologies, test requirements, and technical criteria for AI-enabled physical products. Translate emerging regulations and industry needs into practical, testable, and auditable requirements.
Define and apply methods to evaluate system behavior in real-world and foreseeable-use scenarios, including intended use and misuse, operational design domain, perception and sensing limits, decision-making, navigation and task execution, human interaction, supervision and override, fail-safe and safe-state behavior, minimum-risk conditions, robustness, reliability, and lifecycle changes. Identify failure modes and assess whether technical and operational countermeasures reduce risk, collaborating with R&D and Innovation.
Develop and launch customer-facing offerings such as Physical AI readiness assessments, robotics and autonomy evaluations, embodied AI assessments, advisory engagements, training programs, and certification pathways. Partner with business leaders, product managers, operations, sales, marketing, and customers to convert market needs into scalable solutions and measurable portfolio growth.
Serve as a trusted technical advisor to strategic customers, regulators, standards organizations, and industry forums. Represent UL Solutions through technical committees, publications, conferences, and regulatory engagement.
Build consistent global delivery capability through evaluator competency frameworks, training, technical guidance, test procedures, and operational transfer mechanisms.

Qualifications

Required:

Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Mechanical Engineering, Systems Engineering, Artificial Intelligence, Computer Science, or a related technical discipline.
15+ years of technical experience in robotics, autonomous systems, embedded systems, cyber-physical systems, product safety, functional safety, controls, AI-enabled products, or related engineering domains, including 5+ years of direct experience with AI-enabled physical systems, robotics, autonomy, or machine-learning-enabled products.
Demonstrated hands-on experience developing, integrating, evaluating, testing, or validating AI-enabled physical systems, autonomous technologies, robotics, or cyber-physical systems operating in real-world environments.
Demonstrated knowledge of Physical AI technologies, failure modes, hazards, risks, and evaluation methodologies, including perception and classification errors, sensor-fusion failures, unsafe autonomous behaviors, human-machine interaction hazards, operational design domain exceedance, automation boundary violations, cybersecurity-induced behaviors, model degradation, environmental variability, fail-safe behavior, safe-state operation, minimum-risk conditions, and assessment of risk-mitigation controls.
Familiarity with applicable robotics, machinery, product safety, functional safety, cybersecurity, and AI governance standards or regulatory frameworks.
Strong technical writing, presentation, and stakeholder engagement capabilities, with the ability to communicate complex system risks and evidence expectations to technical, business, regulatory, and customer audiences.

Preferred Experience

Advanced degree in robotics, computer science, controls, systems engineering, AI/ML, or a related technical discipline.
Experience with one or more Physical AI application areas, such as humanoid or service robots, collaborative or industrial robots, autonomous mobile robots, drones, smart mobility, AI-enabled medical or laboratory systems, intelligent appliances, smart buildings, or other connected products.
Demonstrated ability to translate technical hazards, risk assessments, regulatory expectations, or standards requirements into practical evaluation criteria, testing approaches, risk controls, assurance frameworks, certification programs, and customer-facing solutions.
Experience with scenario-based, evidence-based, simulation-based, or virtual validation methods, including edge-case testing, foreseeable-misuse testing, robustness and reliability evaluation, software-in-the-loop, hardware-in-the-loop, digital twins, virtual commissioning, test automation, and post-deployment monitoring.
Experience participating in standards committees, regulatory forums, industry consortia, technical publications, or customer-facing thought leadership.
Demonstrated ability to influence customers, regulators, standards bodies, engineering teams, operations, and cross-functional business leaders.

What we offer:

US Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000-$250,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).

Dice Id: 10288212
Position Id: d10aab0bb864fa853204266177592694
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Northbrook, Illinois

•

Today

Full-time

USD 155,000.00 - 250,000.00 per year

Engineer - Physical AI

Hoffman Estates, Illinois

•

Today

Full-time

USD 83,716.00 - 135,062.00 per year

Senior Architect, Physical AI and Robotics

Remote

•

Today

Full-time

AI Engineer

Maryland

•

Today

Full-time

USD 148,300.00 - 266,900.00 per year

Principal Engineer - Physical AI, Consumer TIC

Skills

Summary

Dice Job Match Score™

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Principal Engineer - Physical AI, Consumer TIC

Job Details

Skills

Summary

Dice Job Match Score™

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