Jobs at Siemens Digital Industries Software

804,346 open positions

Siemens Digital Industries Software builds the digital foundation for the industrial world, delivering PLM, CAD, and simulation tools that enable manufacturers to design, test, and produce products faster and more efficiently.

Recruitment focuses on roles such as software engineers, data scientists, product managers, and field service specialists. Candidates can expect Agile teams, crossโ€‘functional collaboration, and opportunities to work on global projects that integrate AI, IoT, and cloud technologies.

Using Job Transparency to review Siemens Digital Industries Software openings gives you instant access to salary ranges and employee sentiment, letting you benchmark offers, gauge workplace culture, and negotiate with confidence.

Personalized Internet Assessor - Korean

Company: TELUS Digital

Location: Heunghae, South Korea

Posted Feb 07, 2025

Media Search Analyst - Australia

Company: TELUS Digital

Location: Canberra, Australia

Posted Feb 07, 2025

Frequently Asked Questions

What is it like to work at Siemens Digital Industries Software?
The culture emphasizes continuous learning, innovation, and collaboration across global teams. Employees enjoy flexible work arrangements, access to cutting‑edge tools, and a clear path for career progression with regular mentorship and skill‑development programs.
What types of positions are available?
Siemens Digital Industries Software hires across a spectrum of roles: software engineering (frontend, backend, embedded), data science, product management, QA & testing, cloud architecture, field service engineering, sales & business development, and customer success. Each role offers exposure to large‑scale industrial solutions and emerging technologies.
How can I stand out as an applicant?
Tailor your resume to highlight measurable impact—e.g., reduced simulation time by 30% or increased product adoption by 20%. Showcase a portfolio of relevant projects, obtain industry certifications (e.g., Siemens PLM, AWS, or AI), and articulate how you solve real manufacturing challenges. Demonstrating proficiency with tools like NX, Teamcenter, or Python will set you apart.

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