Staff Engineer AMS Implementation (f/m/div)

#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 RoleKey responsibilities in your new roleDevelop software and algorithms for the automated physical design of analog integrated circuits as well as discrete power devices and charge-coupled devicesBuild 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 alignmentModel 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 performanceParallelize compute-intensive kernels using OpenMP and standard parallel algorithms; optimize memory behavior and validate scalability on Linux/LSF clustersEstablish testing and quality practices for geometry kernels and CP models: create unit tests and fuzzing for geometric edge casesImprove existing software modules including refactoring, testing and maintenance of existing codeCommunicate and collaborate with our international analog design automation team to guarantee the success of all the above activitiesYour ProfileQualifications and skills to help you succeedA degree in Electrical Engineering, Computer Science or similar, Doctorate (Ph.D.) strongly preferredMinimum 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 designAdvanced knowledge of Python GUI programming and Cadence SKILL, as well as knowledge of the Cadence Virtuoso software suite (schematic and layout entry), is requiredExperience in quantum computing, machine learning, artificial neural networks and reinforcement learning, as well as associated software such as model development in Python/TorchFamiliarity with the Unix/Linux operating system as a user and administrator, as well as experience in shell scripting and the use of LSF server farmsFluent English language skills, German is a plusContact: Alexander Greie, LinkedIn#WeAreIn for driving decarbonization and digitalization.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?We are on a journey to create the best Infineon for everyone.This means we embrace 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 applicants experience and skills. Learn more about our various contact channels.We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.Click here for more information about Diversity & Inclusion at Infineon.Job Family:Research & DevelopmentType of employment:Duration of employment:PermanentWorkplace type:HybridPreferred start date:Join As:ProfessionalIs this position eligible for Hire4IFX?:YesDepartment:DES DOS IP LAY IMP