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Siemens Digital Industries Software
Siemens is redefining how enterprises turn data into action. By combining Mendix low-code applications with advanced data, analytics, and AI platforms, Siemens enables organizations to move from insights to AI-driven operational impact at scale.
With the 2025 acquisition of Altair Graph Studio, Siemens now offers a Knowledge Graph platform that integrates, models, and reasons over complex data to power Generative AI, Agentic AI, and autonomous systems.
From Data to Action: Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI
Semantic AI Foundation: Knowledge Graphs ensure trust, context, and explainability for enterprise AI
Industrial & Enterprise Scale: Apply AI in mission-critical environments where reliability matters
Strategic Influence: Guide enterprise AI adoption at the architectural and executive level
For Palantir Candidates: Extend your experience beyond a single platform to next-gen AI and digital enterprise transformation. Shape how global organizations integrate, govern, and operationalize AI at scale.
Siemens is an Equal Opportunity and Affiliation Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Applicants and employees are protected under Federal law from discrimination.
To learn more, Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm).
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision.
To learn more, Click here (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf).