Infineon Technologies

Staff Engineer AMS Implementation (f/m/div)

Stellenbeschreibung:

Overview

As Staff Engineer AMS Implementation you will shape the automated AMS layout design for analog ICs and power devices within Infineon’s R&D family. You will collaborate with an international team to develop and optimize geometry, constraint-programming models, and parallel compute strategies that scale on Linux clusters. You will drive testing, quality practices, and continuous improvement of software modules while influencing the future of AMS-EDA capabilities. This is a mission to advance cutting-edge design automation at scale.

Verantwortungsbereiche
  • Develop software and algorithms for automated physical design of analog ICs, power devices, and CCDs
  • Build and optimize spatial indexing and graph engines for constraints like symmetry and alignment
  • Model AMS layout rules with constraint programming using Gecode or OR-Tools CP-SAT; create custom propagators and diagnostics
  • Parallelize compute-intensive kernels with OpenMP; optimize memory and validate scalability on Linux/LSF clusters
  • Establish testing and quality practices for geometry kernels and CP models; implement unit tests and fuzzing
  • Refactor and maintain existing modules; collaborate with international analog design automation team
Zentrale Anforderungen
  • Degree in Electrical Engineering, Computer Science or similar; PhD strongly preferred
  • 3–5 years of algorithm development experience in AMS-EDA, especially computational geometry for analog layout synthesis
  • Experience with constraint programming and solver tools (Gecode, OR-Tools CP-SAT)
  • CPU-only parallel algorithms in modern C++ (C++17/20) and OpenMP
  • Deep knowledge of spatial and graph data structures (sweep-line, interval/segment trees, R-trees, planar graphs, matching/flow)
  • Python GUI programming and Cadence SKILL; familiarity with Cadence Virtuoso (schematic and layout)
  • Experience with Unix/Linux, shell scripting, and LSF server farms
  • Familiarity with quantum computing, ML/NN/RL; model development in Python/Torch
  • Fluent English; German a plus
  • Note: willingness to work in a hybrid workplace and collaborate in a global team
  • team collaboration across international groups
  • strong communication
  • problem-solving and initiative
  • Computational geometry for analog layout synthesis
  • Constraint programming (Gecode, OR-Tools CP-SAT)
  • OpenMP and parallel algorithms
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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Sep 2026
  • Standort:

    München

    Einsatzort:

    Dresden, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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