We are looking for a highly motivated Principal Software Engineer to work as part of the Calibre R&D team developing high‑performance circuit reliability verification solutions. In addition to strong systems and algorithmic expertise, this role requires demonstrated experience applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to complex engineering problems. The ideal candidate is analytical, detail‑oriented, and capable of translating advanced AI concepts into robust, production‑quality software.

Responsibilities

• Be a core member of the Calibre PERC team, an industry leader in circuit reliability verification.
• Design, implement, debug, and maintain high‑performance software features, including AI‑assisted analysis, automation, and optimization capabilities.
• Collaborate closely with field teams and key customers to identify opportunities where AI/ML can improve accuracy, performance, scalability, or usability of solutions.
• Architect and integrate AI/ML components (e.g., predictive models, heuristics, or learning‑based optimizations) into large‑scale C++ codebases.
• Evaluate, prototype, and productionize data‑driven approaches alongside traditional algorithmic techniques.
• Provide technical leadership, code reviews, and mentorship to junior engineers, including guidance on AI‑aware software design and best practices.

Required Knowledge, Skills, Education, and Experience

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field; Master’s or Ph.D. preferred.
• ~10+ years of professional software development experience with a strong C++ programming background.
• Solid foundation in algorithms and data structures, including graph algorithms.
• Hands‑on experience with Artificial Intelligence and/or Machine Learning, such as:
  • Applying ML models to real‑world engineering or data‑intensive problems
  • Feature engineering, model evaluation, and performance trade‑offs
  • Integrating trained models into production systems
• Proficiency in Unix/Linux development environments.
• Experience using Python for AI/ML prototyping, data analysis, or tooling.
• Ability to work independently, take ownership of complex problems, and drive solutions to completion.

Preferred Knowledge and Skills

• Experience applying AI/ML techniques to EDA, simulation, circuit analysis, or other scientific/engineering domains.
• Familiarity with ML frameworks or libraries (e.g., PyTorch, TensorFlow, scikit‑learn) and their integration with C++ systems.
• Knowledge of statistical methods, optimization techniques, or probabilistic modeling.
• Experience with shell scripting and interpreted languages (Tcl, Python, etc.).
• Understanding of model lifecycle considerations, such as data quality, validation, monitoring, and maintainability.
• Background in circuit verification is a plus.
• Strong alignment with software craftsmanship, quality, and long‑term maintainability.
• Proven attention to detail, with the ability to accurately estimate, plan, and deliver high‑quality software on schedule.
• Excellent verbal, written, and interpersonal communication skills.

This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

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