Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

What you will do

The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment.

This position is remote with possible relocation required.

How you will do it

Business Engagement & Needs Identification

Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities.

Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants.

Facilitate workshops and collaborative sessions to define priorities for vision system applications

Solution Development & Deployment

Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring.

Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines.

Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment.

Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions.

Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics.

Regional Execution & Scalability

Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards.

Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops.

Technical Leadership & Documentation

Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios.

Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists.

Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators.

Continuous Improvement & Innovation

Stay current with emerging technologies in computer vision, machine learning, and industrial automation.

Conduct benchmarking and share findings with global teams.

Champion innovation and standardization across sites and regions.

Communication & Collaboration

Communicate technical concepts and project status to stakeholders at all levels, including executive leadership.

Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing.

To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen:

Visionary thinking and technical leadership in computer vision for manufacturing.

Strong business acumen and ability to translate operational needs into technical solutions.

Innovation and adaptability in fast-paced, evolving environments.

Effective communication and collaboration across functions, cultures, and regions.

Structured planning, project management, and follow-through.

What we look for

Required

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.

3+ years of experience in computer vision, machine learning, or automation engineering.

Experience with vision system integration in manufacturing or industrial environments.

Familiarity with industrial cameras, sensors, and lighting systems.

Experience deploying AI models to edge devices or cloud platforms.

Proficiency in 3D CAD tools and simulation software is a plus.

Experience leading cross-functional projects in international settings.

FUTURE RELOCATION TO TEXAS IS REQUIRED

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Clarios will not sponsor applicants for U.S. work visas for this opportunity.

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What you get:

Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire

Tuition reimbursement, perks, and discounts

Parental and caregiver leave programs

All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program

Global market strength and worldwide market share leadership

HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility

Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction.

Who we are: Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials—setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios—where your power meets endless possibilities.

Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion—where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics.

Equal Employment Opportunity:

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law.

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

To All Recruitment Agencies : Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.