Staff Engineer AMS Implementation (f/m/div)

Arbeitsagentur; Neubiberg; On-site; EUR 90,000 - 120,000; Full time

Job summary

Infineon Technologies AG in Neubiberg is seeking a Staff Engineer AMS Implementation to advance automated physical design of analog ICs and power devices. You will model layout rules with CP-SAT, optimize complex geometry, and collaborate with a global team to deliver scalable software solutions.

The role requires 3–5 years in AMS-EDA algorithm development, strong C++17/20 and OpenMP skills, and expertise in geometric data structures, Python GUI, and Cadence tools.

Qualifications

• Degree in Electrical Engineering, Computer Science or similar; Doctorate strongly preferred.
• 3–5 years of algorithm development experience applicable to AMS-EDA, esp. computational geometry for analog layout synthesis and solver use.
• Deep knowledge of spatial and graph data structures relevant to analog physical design.
• Advanced knowledge of Python GUI programming and Cadence SKILL; Cadence Virtuoso familiarity.
• Experience in quantum computing, ML, neural networks and reinforcement learning; Python/Torch knowledge.
• Unix/Linux fluency and experience with shell scripting and LSF farms.
• Fluent English; German a plus.

Responsibilities

• Develop software and algorithms for automated physical design of analog ICs and discrete power devices.
• Model layout rules via constraint programming and CP-SAT; implement custom propagators and diagnostics.
• Parallelize kernels using OpenMP; optimize memory and validate scalability on Linux/LSF clusters.
• Establish testing and quality practices for geometry kernels and CP models; create unit tests and fuzzing.
• Refactor and maintain existing code modules; improve software quality.
• Collaborate with international analog design automation team to ensure project success.

Skills

AMS-EDA

Computational geometry

CP-SAT

OpenMP

C++17/20

Python

Cadence SKILL

Education

Ph.D. preferred

Electrical Engineering or Computer Science

Tools

Gecode

OR-Tools

Linux/LSF

Python/Torch

Job description

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Staff Engineer AMS Implementation (f/m/div) on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Your Role

• Develop software and algorithms for the automated physical design of analog integrated circuits as well as discrete power devices and charge-coupled devices- Build and optimize spatial indexing and graph-based engines: sweep-line operations, interval/segment trees, R-tree-based querying, planar graph construction/analysis, and matching algorithms for constraints like symmetry and alignment
• Model complex AMS layout rules via constraint programming, implement and tune Gecode or OR-Tools CP-SAT models; develop custom propagators where needed, establish diagnostics and KPIs for model quality and solver performance
• Parallelize compute-intensive kernels using OpenMP and standard parallel algorithms; optimize memory behavior and validate scalability on Linux/LSF clusters
• Establish testing and quality practices for geometry kernels and CP models: create unit tests and fuzzing for geometric edge cases
• Improve existing software modules including refactoring, testing and maintenance of existing code
• Communicate and collaborate with our international analog design automation team to guarantee the success of all the above activities

Your Profile

• A degree in Electrical Engineering, Computer Science or similar, Doctorate (Ph.D.) strongly preferred
• Minimum 3–5 years of algorithm development experience directly applicable to AMS-EDA, especially computational geometry for analog layout synthesis, constraint programming and solver use (e.g., Gecode, OR-Tools CP-SAT) and CPU-only parallel algorithms in modern C++ using OpenMP and standard parallel algorithms (C++17/C++20)
• Deep knowledge of spatial and graph data structures (e.g., sweep-line, interval/segment trees, R-trees, planar graphs, matching/flow) relevant to analog physical design
• Advanced knowledge of Python GUI programming and Cadence SKILL, as well as knowledge of the Cadence Virtuoso software suite (schematic and layout entry), is required
• Experience in quantum computing, machine learning, artificial neural networks and reinforcement learning, as well as associated software such as model development in Python/Torch
• Familiarity with the Unix/Linux operating system as a user and administrator, as well as experience in shell scripting and the use of LSF server farms
• Fluent English language skills, German is a plus

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

#WeAreIn for driving decarbonization and digitalization.

We are on a journey to create the best Infineon for everyone.This means we emb diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.