Sr. Industrial Engineer, Simulation & Digital Manufacturing

Sr. Industrial Engineer – Simulation & Digital Manufacturing – Powertrain 

Leading the Future of Luxury Electric Mobility 
 
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. 
 
As a Sr. Industrial Engineer – Simulation & Digital Manufacturing at Lucid, you will be a key enabler for data-driven decision-making in Powertrain Manufacturing. Your primary focus will be to simulate production flows, maintain a real-time capacity database, and support bottleneck identification and resolution across all powertrain areas. You will help shape the roadmap for Industry 4.0 adoption and collaborate closely with operations, engineering, and analytics teams. 

Responsibilities: 

• Build, maintain, and continuously improve dynamic simulation models of Powertrain production flows (e.g., FlexSim, Siemens Plant Simulation, etc.). 

• Use simulation outputs to identify bottlenecks, quantify improvement opportunities, and validate system-level changes before implementation. 

• Maintain and manage a live manufacturing database capturing cycle time, station uptime, staffing models, and throughput assumptions. 

• Collaborate with Process Engineers, TPMs, and IE Manager to validate real-time inputs from the shop floor. 

• Prepare scenario-based glidepath and ramp simulations to support New Product Introductions (NPIs) and launch readiness. 

• Support layout optimization, station balancing, and material flow design through virtual modeling. 

• Integrate digital manufacturing tools and dashboards aligned with Lucid’s Industry 4.0 vision. 

• Use data analytics platforms (e.g., Tableau, Power BI, SQL) to visualize trends, downtime drivers, and efficiency losses. 

• Lead simulation reviews with stakeholders to influence decisions on investment, headcount, and continuous improvement initiatives. 

• Document modeling assumptions, version control, and lessons learned to ensure transparency and scalability of simulation tools. 

Qualifications: 

• Bachelor’s or Master’s degree in Industrial Engineering, Systems Engineering, or related field. 

• 3+ years of experience in discrete event simulation modeling and factory flow optimization. 

• Proficiency with simulation tools such as FlexSim, Siemens Plant Simulation, or equivalent. 

• Strong knowledge of Powertrain or automotive manufacturing systems is a plus. 

• Working knowledge of time studies, OEE, line balancing, MODAPTS and Lean principles. 

• Experience managing production-related databases and developing analytical models. 

• Familiarity with Industry 4.0 concepts such as digital twins, smart factory architecture, and IoT integration. 

• Proficiency in data tools such as Excel, SQL, Tableau, or Power BI. 

• Effective communicator with the ability to present technical findings to cross-functional teams and leadership. 

• Hands-on, proactive approach with attention to accuracy and data integrity.