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Stellantis Tech Stack

Global automotive manufacturer scaling manufacturing ops and EV diagnostics

Motor Vehicle Manufacturing Amsterdam 10,001+ employees Public Company

Stellantis operates a sprawling manufacturing and mobility platform across 15+ automotive brands, serving 25+ countries with 1,700+ open roles split heavily toward engineering (614) and manufacturing (292). The tech stack reveals dual operational layers: industrial controls (CATIA, SAP, Siemens Step 7, Fanuc) for plant floor automation, paired with modern data/ML tools (TensorFlow, PyTorch, Python, Power BI, Palantir) for diagnostics and fleet optimization. Active adoption of GraphRAG and MBSE alongside migration away from legacy PLM (Enovia) and distributed systems (Erlang, Riak) signals investment in AI-driven vehicle diagnostics and model-based systems engineering—critical for OTA updates and autonomous driving validation, both visible in their project roadmap.

Tech Stack 200 technologies

Core StackTensorFlow PyTorch Python C++ Power BI MATLAB CATIA Power Query Power Apps Excel VBA Raspberry Pi CAN C/C++ SQL SAP BusinessObjects SharePoint Microsoft 365 Microsoft Office Palantir PowerPoint Outlook Teams Word Qlik Siemens Step 7 WinCC Studio 5000 Fanuc Profibus+170 more
AdoptingPower BI Power Automate Python VBA Azure Landing Zone Azure Well-Architected Framework GraphRAG MBSE+5 more
ReplacingEnovia Erlang Riak

What Stellantis Is Building

Challenges

  • Reducing costs
  • Cost savings
  • Ensuring compliance with regulations
  • Ensuring safety compliance
  • Improving line performance
  • Reducing waste
  • Dealer performance improvement
  • Reducing fleet downtime
  • Cost efficiency
  • Manufacturing quality issues

Active Projects

  • Implementation of stellantis production way (spw) methodology
  • Preventive maintenance plan
  • Ota and diagnostics platform application software features for next generation vehicle controllers
  • Root cause analysis
  • Tooling cost development for new programs
  • Implementation of spw maintenance domain
  • Vehicle testing
  • Deployment of advanced spw tools
  • Development of process and equipment standards for facilities infrastructure
  • Stellantis production way initiatives

Hiring Activity

Accelerating1,700 roles · 750 in 30d

Department

Engineering
614
Manufacturing
292
Ops
114
Sales
93
Finance
90
Marketing
72
HR
65
Data
58

Seniority

Mid
459
Senior
437
Intern
362
Manager
200
Lead
100
Junior
89
Director
8
Staff
7

Notable leadership hires: Warranty Claim Lead, Incident Response Lead, Engineering Quality Lead, Automated Driving Validation Lead, Team Lead

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About Stellantis

Stellantis is a multinational automotive manufacturer headquartered in Amsterdam, operating a portfolio of 15 brands (Jeep, Ram, Peugeot, Fiat, Alfa Romeo, Citroën, Maserati, and others) alongside mobility services (Free2move, Leasys). The company manufactures and sells vehicles across North America, Europe, Asia, and emerging markets, with operations spanning production, dealer networks, and fleet management. Current focus areas include implementing standardized manufacturing methodology (SPW) across facilities, reducing operational costs and waste, improving dealer performance, minimizing fleet downtime, and building next-generation OTA and diagnostics platforms for vehicle controllers. The business is shifting toward sustainable mobility and technology services alongside traditional vehicle sales.

HeadquartersAmsterdam
Company Size10,001+ employees
Hiring MarketsMorocco, France, Italy, United States, Mexico, Poland, Belgium, Austria

Frequently Asked Questions

What is Stellantis' tech stack?

Industrial controls (CATIA, SAP, Siemens Step 7, Fanuc) for manufacturing; data/analytics (TensorFlow, PyTorch, Python, Power BI, Palantir, Qlik); Microsoft 365 ecosystem; actively adopting Python, Power Automate, GraphRAG, and Azure cloud frameworks.

What is Stellantis working on?

Core initiatives: standardized manufacturing methodology (SPW) rollout, preventive maintenance systems, OTA and diagnostics platforms for next-generation vehicle controllers, automated driving validation, quality improvement, and cost reduction across global facilities.

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