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Mobility System Engineer Jobs in Illinois (NOW HIRING)

Sr. Enterprise

Chicago, IL · On-site

$107K - $147K/yr

... Systems Engineering experience and certification in one or more: network, server , open systems, virtualization, security , end user, mobility Technology experience in one or more: Data Center ...

Sr. Enterprise

Chicago, IL · On-site

$107K - $147K/yr

... • Systems Engineering experience and certification in one or more: network, server , open systems, virtualization, security , end user, mobility • Technology experience in one or more: Data ...

Showing results 21-40

Mobility System Engineer information

What is a mobility system engineer?

Mobility System Engineers are professionals who design, develop, and optimize systems that enable efficient movement of people and goods. They work with various transportation technologies, including vehicles, infrastructure, and digital platforms, to improve mobility solutions. Their role often involves integrating hardware and software, ensuring safety, and supporting sustainability initiatives in urban mobility and smart transportation projects.

What are the key skills and qualifications needed to thrive as a mobility system engineer?

To thrive as a Mobility System Engineer, you need a strong background in electrical, mechanical, or systems engineering, often supported by a relevant degree and experience in transportation or mobility projects. Familiarity with CAD software, simulation tools, and knowledge of standards like ISO 26262, as well as certifications in automotive systems or ITS, are typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively across multidisciplinary teams make a candidate stand out. These skills and qualifications ensure safe, innovative, and efficient transportation system solutions that meet industry and regulatory demands.

How does a mobility system engineer typically collaborate with cross-functional teams during project development?

As a Mobility System Engineer, collaboration with cross-functional teams is a core part of the role. You will frequently work alongside software developers, hardware engineers, project managers, and UX designers to ensure that mobility solutions are integrated seamlessly and meet both technical and user requirements. Regular meetings, design reviews, and coordinated testing sessions are common, allowing for real-time problem-solving and alignment on project goals. This collaborative environment helps foster innovation and ensures that complex mobility systems are delivered efficiently and effectively.

What is the difference between Mobility System Engineer vs Transportation Engineer?

AspectMobility System EngineerTransportation Engineer
Required CredentialsBachelor's in Engineering, certifications in transportation or mobility systemsBachelor's in Civil Engineering, often with transportation planning certifications
Work EnvironmentDesigning and optimizing mobility solutions, working with transit agencies and tech companiesPlanning, designing, and managing transportation infrastructure projects
Employer & Industry UsageTech firms, transit agencies, mobility service providersGovernment agencies, civil engineering firms, urban planning departments

Mobility System Engineers focus on developing innovative transportation solutions, often integrating technology and user experience, while Transportation Engineers primarily work on infrastructure planning and construction. Both roles require engineering backgrounds but differ in scope and industry focus.

Infographic showing various Mobility System Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Principal Engineer - Physical AI, Consumer TIC

Northbrook, IL • On-site

UL Solutions
Professional, Scientific, and Technical Services • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


UL Solutions rating

8.4

Company rating: 8.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


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.
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:
  • 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-$175,000 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).

What UL Solutions employees say

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