Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
We are seeking a highly motivated Junior Software Engineer with a background in Machine Learning (ML) and Artificial Intelligence (AI) to join the Calibre LVS R&D team. This is an exciting opportunity for recent Master’s or Ph.D. graduates who are passionate about software development and cutting-edge technology. You will contribute to the development of innovative features that integrate ML/AI into physical verification, driving advancements in semiconductor design. If you're eager to apply your expertise in ML/AI, grow your skills, and shape the future of semiconductor technology, we'd love to hear from you!
Responsibilities:
Develop, implement, and maintain features for Calibre LVS, integrating ML/AI to improve performance and usability. Design and optimize multi-threaded algorithms for resource-efficient high-performance computing (HPC) platforms. Apply ML/AI techniques to enhance physical verification workflows and automation. Collaborate with experienced engineers to create scalable, innovative solutions for semiconductor design challenges. Identify and resolve software performance bottlenecks using advanced debugging and profiling techniques. Participate in cross-functional discussions to define requirements and specifications for new ML/AI-driven features.Required Knowledge/Skills, Education, and Experience:
Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field, with a focus on Machine Learning, Artificial Intelligence, or Data Science. Strong programming skills in C++ and experience with Linux-based development environments. Foundational knowledge of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and AI algorithms. Experience with or willingness to learn multi-threaded programming and graph algorithms. Interest in Electronic Design Automation (EDA) technologies and physical verification. Excellent problem-solving skills and attention to detail. Eagerness to work in a collaborative, fast-paced environment and grow your technical skills.Preferred Qualifications:
Experience with applying ML/AI techniques to solve real-world engineering problems. Familiarity with high-performance computing (HPC) or parallel programming (academic or project-based). Exposure to EDA tools or coursework in semiconductor design.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 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!
Siemens Software. Transform the Everyday with Us
The salary range for this position is $105,100 to $189,200 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).
#LI-EDA
#LI-HYBRID
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.