R&D Software Architect: Self-Driving Automation

Digital Pipl

Rotselaar

Sur place

EUR 70 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Digital Pipl is seeking a Software & Automation Engineer to architect the R&D factory's digital nervous system. You will design self-driving workflows connecting physics solvers to business operations, turning PoCs into robust software.

Join a high-impact role building modular Python/C++ frameworks, integrating AI-driven agents, and maintaining CI/CD pipelines to enable fast, reliable shipping of physics-heavy code.

Qualifications

  • MSc in Computer Science, Software Engineering, or a related field with strong mathematical lean.
  • Proficient in Python and strong working knowledge of C++.
  • Understand when to use Python vs C++ for performance vs flexibility.
  • Strong grasp of SOLID principles and Clean Architecture; modular, readable code for production environments.
  • Interest or background in heat transfer/thermodynamics; familiarity with Conjugate Heat Transfer is a plus.
  • Ability to turn PoCs into robust, production-grade software.

Responsabilités

  • Prototype PoCs in Python and C++ and translate into production-ready code.
  • Architect and maintain middleware and API-driven workflows (e.g., Jira, Slack, Autodesk, AWS, internal DBs).
  • Develop modular, OOP-based frameworks to automate simulations, testing, and deployment pipelines.
  • Integrate LLMs and AI-driven agents into task management systems to derive actionable insights from thermal data.
  • Maintain and evolve CI/CD pipelines and automated testing for fast, reliable shipping of physics-heavy code.

Connaissances

Python
C++
SOLID principles
Clean Architecture
API design
ML/LLM integration
Mathematics

Formation

MSc in Computer Science or Software Engineering

Outils

Docker
Kubernetes
AWS
Azure
GCP
Jira
Slack
Autodesk

Description du poste

Digital Pipl is seeking a Software & Automation Engineer to architect the R&D factory's digital nervous system. You will design self-driving workflows connecting physics solvers to business operations, turning PoCs into robust software.

Join a high-impact role building modular Python/C++ frameworks, integrating AI-driven agents, and maintaining CI/CD pipelines to enable fast, reliable shipping of physics-heavy code.

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