Jobs at Daimler Trucks North America

Lead and sustain Integrated Management System certifications, including ISO 50001, ISO 14001, and ISO 45001. The role governs compliance, coordinates internal and external audits, monitors EHS performance, manages corrective actions, facilitates management reviews, and drives continuous improvement. It also promotes employee engagement in energy conservation, sustainability, workplace safety, environmental stewardship, Kaizen, and Lean initiatives.

Define and optimize project management processes, methods, and tools within Product Engineering. Analyze process-performance data, identify inefficiencies, implement continuous improvements, and collaborate with stakeholders on process changes. Use digital and AI tools to improve efficiency, conduct audits, and ensure process adoption. The role requires project management expertise, automotive or commercial vehicle experience, analytical problem-solving, stakeholder communication, and a commitment to operational excellence.

Leads design and development of cabin suspension and mounting systems for commercial or passenger vehicles. Creates component and assembly concepts, requirements, drawings, and documentation; coordinates suppliers and cross-functional teams; manages development projects, testing, validation, release decisions, and design issue resolution. Uses UG NX, GD&T, tolerance analysis, DFMEA, DVP, manufacturing-process knowledge, and cost-reduction methods while ensuring regulatory, quality, cost, and timeline targets.

Leads governance and execution for the UNNATI transformation portfolio, overseeing work packages, milestones, dependencies, risks, KPIs, dashboards, and benefit realization. Partners with business and finance leaders to validate impacts, improve performance transparency, resolve bottlenecks, and support executive decisions. Drives continuous improvement, reporting automation, dashboard enhancement, and standardized portfolio-management practices while coaching PMO resources.

The Data Engineer role involves data management, system design, and collaboration with teams to implement effective data solutions.

Develop and implement a Total Quality Management (TQM) strategy in R&D, focusing on process improvement, culture initiatives, training, and cross-functional collaboration.