* Lead engineering teams to refine and enhance high-throughput manufacturing processes, prioritizing efficiency, quality, and cost targets;
* Partner with operations teams and other stakeholders to resolve bottlenecks, improve line productivity, and ensure alignment with production goals;
* Use validated production data to evaluate issues, select appropriate methodologies, and implement solutions within established procedures;
* Allocate personnel and financial resources to meet departmental objectives, balancing competing demands and tight deadlines;
* Mentor and develop engineering staff, ensuring expertise in process optimization and adherence to Tesla’s high standards;
* Suggest improvements to company policies and establish procedures that directly impact organizational performance.
What You’ll Bring
* Bachelor’s or advanced degree in a technical discipline (e.g., mechanical engineering, industrial engineering) or equivalent experience;
* Demonstrated success leading engineering teams focused on designing and optimizing high-volume manufacturing systems;
* Experience in mass production industries (e.g., battery cell manufacturing, automotive, semiconductors, consumer electronics, energy systems);
* Proficiency in analyzing and improving production metrics (efficiency, quality, safety, throughput, costs);
* Ability to work under pressure, assess dynamic conditions, and prioritize conflicting demands;
* Operate independently to achieve goals, proposing policy changes and establishing procedures that affect the organization;
* Develop schedules, budgets, and performance targets while managing risks that could impact short-term objectives;
* Strategic understanding of market trends and their impact on manufacturing scalability;
* Regularly interact with executives and peers to align departmental plans with broader operational challenges;
* Strong communication skills in English (written and verbal) for cross-functional coordination and mediation. German language skills are a plus;
* Advanced MS Office fluency (Word, Excel, PowerPoint) for data analysis and reporting.