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Manufacturing Engineer /Factory Intelligence – Process Simulation (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla -
Grünheide (Mark)

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Kostenbeteiligung am Arbeitsweg

Qualifikationen

CI/CD
Node.js
CSS
React
Kubernetes
Master
SQL
Docker
Industrial Engineering
JavaScript
Softwareentwicklung
GitHub
APIs
Produktion
Datenvisualisierung
Python
HTML
MySQL

Vollständige Stellenbeschreibung

What to Expect

Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story.

The Tesla Gigafactory Berlin Factory Planning team is seeking an Associate Engineer, Manufacturing/Factory Intelligence to design, build, and deploy full-stack factory intelligence applications bridging operational data, engineering workflows, and factory systems — delivering production-grade tools used on the shopfloor and by engineering and management teams across multiple Tesla sites globally.

What You'll Do

Full-Stack Application Development

Design, develop, and maintain full-stack web applications (React, Node.js, JavaScript/HTML/CSS) serving IE, Process Engineering, and Manufacturing Operations
Implement mathematical optimization engines (linear programming, CP-SAT, Pareto multi-objective) for production planning, line balancing, and scheduling
Build RESTful APIs connecting frontend applications to factory data sources (SCADA, MFS, MES, Coalesce, Ignition)
Develop interactive 2D/3D factory visualization tools (DeckGL) for real-time digital twin and logistics visibility

CI/CD, Deployment & Infrastructure

Own the full application lifecycle — development, testing, deployment, and maintenance — following Tesla ARB and POC governance
Deploy and manage applications on Tesla VM infrastructure with production-grade uptime, security, and access control
Apply CI/CD practices (GitHub, versioning, automated testing) and work towards containerized delivery (Docker, Kubernetes/K8s)
Manage database setup, schema design, and migration (MySQL) for live factory applications

Manufacturing Systems & Data Integration

Develop working knowledge of Tesla factory systems: SCADA, Ignition, MFS, WARP, FLUX, FX, Coalesce, Fuze
Build SQL and Python data pipelines to extract, clean, and transform operational data (OEE, cycle times, equipment states, logistics)
Apply Industrial principles (MODAPTS, line balancing, takt time, JPH) to structure data models and solver constraints

Discrete-Event Simulation

Build and validate DES models (FlexSim) for production lines, material flow, and equipment utilization supporting CAPEX/OPEX decisions
Calibrate models with real-time data and deliver scenario analysis to manufacturing engineering teams

Collaboration & Stakeholder Engagement

Lead IT ARB submissions and POC processes to secure infrastructure for new deployments
Engage factory teams across GFBB, GFTX, Lathrop, Houston, Fremont, and Austin to gather requirements and drive adoption
Communicate technical outputs clearly to shopfloor engineers, IE leads, and senior management

What You'll Bring

Full-stack proficiency: React, Node.js, JavaScript, HTML/CSS; RESTful API design and backend development
SQL (MySQL) and Python — schema design, query optimization, data pipelines, optimization scripting
CI/CD practices, GitHub workflows; Docker/Kubernetes knowledge preferred
Familiarity with industrial systems: SCADA, Ignition, MES/MFS or equivalent
IE concepts: line balancing, takt time, MODAPTS, JPH, OEE, scheduling, material flow
Strong analytical skills — KPI dashboards, operational reporting, data visualization
DES simulation (FlexSim) a plus
BS/MS in Industrial Engineering, Manufacturing Engineering, Computer Science, or equivalent
1+ years in software development, data engineering, or manufacturing intelligence
Autonomous, able to manage multiple projects under pressure and deliver independently
Strong communication skills across all organizational levels; IT governance experience (ARB, POC) preferred
Fluent in English

What we offer:

You will be working in our state-of-the-art Gigafactory where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes a competitive salary and Tesla shares or bonuses. Typical benefits that we provide are 30 vacation days, an occupational pension, employee life and disability insurances, free EV charging, product discounts and various transportation benefits.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Jetzt bewerben

Erweiterte Suche

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