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Inside the Role

The Manufacturing Systems Engineer I - Advanced Manufacturing & AI supports the development, implementation, and maintenance of advanced manufacturing technologies that improve safety, quality, productivity, efficiency, and data-driven decision-making across manufacturing operations.
This role works closely with Manufacturing Engineering, Production, Quality, Controls Engineering, IT, and Operations teams to support Industry 4.0 initiatives, including machine vision systems, industrial automation, Industrial IoT (IIoT), AI-enabled manufacturing solutions, manufacturing control systems, and data analytics platforms.
The Manufacturing Systems Engineer I will assist in the deployment of manufacturing technologies, data collection systems, and analytics solutions while developing technical expertise in automation, AI, digital manufacturing, and manufacturing systems integration.
This position provides an excellent opportunity for engineers interested in advanced manufacturing technologies, data analytics, machine vision, automation, and digital transformation within a modern manufacturing environment.
The ideal candidate is intellectually curious, highly motivated, and passionate about technology. They may have exposure to manufacturing, automation, analytics, software, AI, or engineering through coursework, internships, personal projects, or self-directed learning. Success in this role requires a willingness to continuously learn new technologies, collaborate across functions, and develop innovative solutions to manufacturing challenges.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

What You Drive at DTNASupport Advanced Manufacturing Technology Initiatives

• Support the implementation, testing, and maintenance of advanced manufacturing technologies and Industry 4.0 solutions.
• Assist with deployment and support of machine vision systems, industrial cameras, smart sensors, and automated inspection equipment.
• Support integration of manufacturing systems with production equipment, Manufacturing Control Systems (MCS), Manufacturing Execution Systems (MES), and other manufacturing technologies.
• Participate in automation projects including robotics, smart manufacturing equipment, and connected factory solutions.

Support Data Analytics and Digital Manufacturing

• Assist in collecting, organizing, validating, and analyzing manufacturing data to identify opportunities for operational improvement.
• Develop and maintain dashboards, reports, and visualizations that provide actionable insights to manufacturing stakeholders.
• Support the development of data analytics solutions used to improve quality, productivity, downtime reduction, and process performance.
• Assist with database management, data integration, and data quality activities.

Support AI and Industry 4.0 Solutions

• Assist with implementation and support of AI-enabled manufacturing solutions, predictive analytics tools, and computer vision applications.
• Support Industrial IoT (IIoT) initiatives involving data acquisition, machine connectivity, and manufacturing system integration.
• Participate in evaluation and testing of new technologies that improve manufacturing operations.
• Assist in troubleshooting and resolving issues related to manufacturing software, automation systems, and connected devices.

Project and Cross-Functional Support

• Work with Manufacturing Engineering, Operations, Quality, IT, and Controls teams to gather requirements and support manufacturing technology projects.
• Participate in pilot programs, process improvement initiatives, and technology deployments.
• Document system configurations, procedures, technical solutions, and lessons learned.
• Support project tracking, testing activities, training efforts, and deployment activities.

Continuous Improvement

• Identify opportunities to improve manufacturing processes through automation, analytics, and technology solutions.
• Assist in root cause analysis and problem-solving activities related to manufacturing systems and processes.
• Stay current on emerging manufacturing technologies, AI applications, automation trends, and Industry 4.0 best practices.
• Support continuous improvement initiatives across manufacturing operations

Knowledge You Should Bring

• Bachelor's Degree from an accredited university in Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Information Systems, Data Analytics, or a related technical field, and 0-2 years of experience, is required.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies, tools, and processes in a fast-paced manufacturing environment.
• Strong written and verbal communication skills.
• Ability to work effectively both independently and within cross-functional teams.
• Demonstrated organizational skills and attention to detail.
• Interest in manufacturing technology, automation, digital transformation, and data-driven decision making.
• Naturally curious with a passion for understanding how systems, technologies, and processes work.
• Demonstrated ability for self-learning and independent exploration of new technical concepts.
• Strong critical thinking and problem-solving abilities.
• Adaptable and comfortable working with evolving technologies and business priorities.
• Effective communicator who can work with both technical and non-technical stakeholders.
• Positive attitude and eagerness to contribute to team success.
• Continuous learning mindset with a desire to develop new technical and professional capabilities.
• Up to 10% travel domestically.
• An attached resume is required.

Exceptional Candidates Might Have

• Internship, co-op, academic project, personal project, or other hands-on experience involving manufacturing, engineering, software, automation, robotics, analytics, or technology.
• Demonstrated interest in manufacturing technology, artificial intelligence, automation, machine vision, Industrial IoT, data analytics, or Industry 4.0 initiatives.
• Exposure to programming, data visualization tools, industrial controls, manufacturing systems, or related technologies through coursework, self-study, internships, projects, or personal interests.
• Familiarity with Lean Manufacturing, Continuous Improvement, Six Sigma, or structured problem-solving methodologies through coursework, projects, internships, or practical experience.
• Experience participating in team-based projects and collaborating with diverse groups to achieve common objectives.
• Interest in developing technical expertise in manufacturing systems, automation, data analytics, machine vision, and AI-enabled manufacturing solutions.

#LI-RR1 #LI-Hybrid

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Portland, OR US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

• This position is not open for Visa sponsorship or to existing Visa holders
• Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
• Final candidate must successfully complete a criminal background check
• Final candidate may be required to successfully complete a pre-employment drug screen
• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
• EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.