Siemens Industry Software Inc. is seeking a Principal/Distinguished Technologist to develop advanced AI/ML solutions for Manufacturing EDA applications, aiming to create differentiated, high-impact products that deliver measurable value to semiconductor manufacturing customers.
Requirements
- 15+ years of experience in AI/ML development, advanced software architecture, computational modeling, or EDA technologies, with progressive technical leadership responsibilities.
- Strong programming capability in Python and/or C++, with hands-on experience building scalable, production-quality software systems.
- Proven skills in physics-based and data-driven modeling, including model development, training, validation, and deployment in production environments.
- Solid understanding of software development best practices, including system architecture, algorithm design, code optimization, validation, version control, and CI/CD workflows.
- Demonstrated expertise applying AI/ML techniques to complex engineering problems, preferably within semiconductor manufacturing, EDA, or high-performance scientific computing domains.
- Good understanding of semiconductor manufacturing processes and workflows, including lithography, etch, deposition, and process integration, is highly desirable.
Responsibilities
- Serve as a hybrid Product and R&D Architect, responsible for defining, developing, and deploying AI/ML software products and solutions for Manufacturing EDA applications.
- Collaborate closely with cross-domain experts in a fast-paced, startup-style environment to drive innovation from concept through production.
- Apply state-of-the-art AI/ML technologies to create differentiated, high-impact products that deliver measurable value to world-leading semiconductor manufacturing customers.
- Translate customer and business requirements into end-to-end technical solution architectures that achieve real-world adoption.
- Drive alignment without authority.
Other
- A Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics or a related field.
- Experience collaborating across R&D, product management, and applications organizations in globally distributed teams.
- Strong technical leadership, mentoring, and cross-functional influence skills.
- Excellent written and verbal communication skills, capable of presenting complex technical concepts clearly to both technical experts and executive stakeholders.
- Hybrid (Remote/Office) work mode.
