Digital Manufacturing & Test Engineer

Inside the Role Digital Manufacturing & Test Engineer responsible for leading the integration of automated inspection and computer vision systems into the Manufacturing Control System to enhance vehicle production quality and validation. This role partners closely with manufacturing engineering teams to support new product launches by evaluating and improving vehicle electronics programming and testing systems (VEPS/VET), ensuring robust hardware validation and manufacturability. Applies data-driven analysis and statistical methods to identify trends, detect emerging electronic issues, and drive root cause resolution within production processes. Additionally, provides technical leadership in the specification, development, and deployment of manufacturing test and inspection systems, ensuring compliance with safety and regulatory requirements while delivering reliable, scalable solutions in a fast-paced production environment. 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 Position offers a starting salary range of $95,000 - $121,000 USD Pay offered dependent on knowledge, skills, and experience Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. What You Drive at DTNA Lead the integration of automated inspection and visual measurement systems into our Manufacturing Control System. Support Manufacturing Engineering Mechatronics team with new product (hardware and software) releases on the Medium Duty vehicle platform. Identify production related design for manufacturing improvements ahead of implementation into the plants by evaluation and validation of vehicle electronics programming and testing (VEPS, VET) systems Provide engineering expertise and guidance on the specification, procurement, and development of manufacturing assembly and vehicle validation systems to ensure compliance with all government and safety regulations. Apply practical problem-solving techniques to resolve systemic failures in the process or with equipment. Resolve risk/issues with a sense of urgency. Knowledge You Should Bring Bachelor of Science in Computer Engineering / Engineering Technology or Related Technical Field Proficient in Python for production-grade computer vision and data analysis solutions Basic knowledge of AI/ML concepts and experience with at least one ML framework such as PyTorch, TensorFlow, or scikit-learn Developed and deployed object detection models (e.g., YOLO) for automated inspection in manufacturing environments Solid foundation in computer vision fundamentals, including image preprocessing, feature extraction, and camera calibration (OpenCV) Hands-on work with dataset creation, annotation, and model training, including evaluation using precision/recall and mAP metrics Integrated vision systems into manufacturing test stations for real-time inspection and pass/fail decision making Familiarity with deploying and maintaining vision models on industrial edge systems with real-time performance constraints Proven ability to analyze test and inspection data to identify failure trends, detect anomalies, and support root cause investigations Working knowledge of statistical process control (SPC), process monitoring, and data-driven quality improvement methods Strong understanding of vehicle hardware validation, production test systems, and end-of-line environments Built maintainable, modular software using version control (Git) and production-ready coding practices Knowledge of industrial vision hardware, including cameras, optics, and lighting for robust inspection performance Exceptional Candidates Might Have Project Management Bi-lingual (English/Spanish) Proficiency with SQL a plus Working knowledge in electrical and electronic hardware and software Excellent verbal and written communication skills, as well as personal computer office automation skills Work independently with minimal supervision Thrive in an environment of ambiguity and ongoing change Ability to lead small to medium sized projects Experience translating business needs into technical requirements Knowledge of vehicle manufacturing processes Exposure to computer vision, anomaly detection, time-series analytics, or NLP applications Interest in applying LLMs or AI-assisted workflows to practical business problems #LI-TN1 #LI-Onsite Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Mount Holly, NC US. Relocation assistance is not available for this position.

Schedule Type:

Onsite 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. U.S. Visa sponsorship available if you qualify under the following: Hold a valid existing Visa (L1A, L1B, L2, TN, H1B, H4 EAD, OPT

EAD, CPT

) Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa Those eligible for a TN Visa (Canadian or Mexican National working in an Engineering, Accounting or Scientific Technologist capacity with an aligning degree) Those eligible for an L-1 (inter-company) Daimler Truck visa under the Corporate Blanket L-1 program would require at least one-year of qualifying experience in the last three years Additional Information 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.

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