Siemens
Atlas Graduate Program: Product Engineer (2025)
Siemens, Wilsonville, OR
Discover your career with us at Siemens Digital Industries Software!
Siemens Digital Industries Software is a global leader in the growing field of product lifecycle management (PLM), manufacturing operations management (MOM), and electronic design automation (EDA) software, hardware, and services. Siemens works with more than 100,000 customers, leading the digitalization of their planning and manufacturing processes. At Siemens Digital Industries Software, we blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow's idea. We take what the future promises tomorrow and make it real for our customers today. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential. 'Transform the everyday' and 'Accelerate transformation'.
Siemens EDA is the longest standing Electronic Design Automation company in the world and over the last 30 years has amassed the finest technology portfolio in the business. Our software tools span the full breadth of semiconductor and electrical systems solutions including integrated circuit design and verification, PCB design & manufacturing solutions, cable harness design tools, and embedded software.
This position is a part of the Atlas Graduate Program. Through this program, you will receive 12 months of technical and non-technical training, mentorship from Siemens EDA executives and world-class engineers, and learn what it is like to work as part of a company that is solving electronic design automation software challenges in the physical verification space.
You will participate in the definition, specification, experimentation, prototyping, and deployment of AI enhancements in IC design physical verification products. You will work with other Product Engineers, R&D Engineers, Product Management, Application Engineers and even directly with Customers to accomplish these tasks. You will participate in defining, training and testing ML models and other algorithms to enhance the intelligence, performance and usability of the product line. You will participate in writing articles, presentations and other technical and marketing content.
Required Knowledge/Skills, Education, and Experience:
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline
• A basic understanding of semiconductor logic design and verification
• Basic knowledge or skills in machine learning
• Proficiency in one or more scripting languages (PERL, Python, TCL, etc.)
• Ability to demonstrate strong analytical and problem-solving skills
• Good oral and written communication skills in English
Preferred Knowledge/Skills, Education, and Experience:
• Actual experience in ML feature engineering, model training, model testing and optimization
• Experience defining and implementing complex algorithms in software
• Circuit design and/or verification experience
• IC Design CAD tools (Preferably Calibre)
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
The salary range for this position is $32.69/hr to $58.84/hr 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).
#Atlas
#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 [redacted]. 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.
Siemens Digital Industries Software is a global leader in the growing field of product lifecycle management (PLM), manufacturing operations management (MOM), and electronic design automation (EDA) software, hardware, and services. Siemens works with more than 100,000 customers, leading the digitalization of their planning and manufacturing processes. At Siemens Digital Industries Software, we blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow's idea. We take what the future promises tomorrow and make it real for our customers today. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential. 'Transform the everyday' and 'Accelerate transformation'.
Siemens EDA is the longest standing Electronic Design Automation company in the world and over the last 30 years has amassed the finest technology portfolio in the business. Our software tools span the full breadth of semiconductor and electrical systems solutions including integrated circuit design and verification, PCB design & manufacturing solutions, cable harness design tools, and embedded software.
This position is a part of the Atlas Graduate Program. Through this program, you will receive 12 months of technical and non-technical training, mentorship from Siemens EDA executives and world-class engineers, and learn what it is like to work as part of a company that is solving electronic design automation software challenges in the physical verification space.
You will participate in the definition, specification, experimentation, prototyping, and deployment of AI enhancements in IC design physical verification products. You will work with other Product Engineers, R&D Engineers, Product Management, Application Engineers and even directly with Customers to accomplish these tasks. You will participate in defining, training and testing ML models and other algorithms to enhance the intelligence, performance and usability of the product line. You will participate in writing articles, presentations and other technical and marketing content.
Required Knowledge/Skills, Education, and Experience:
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline
• A basic understanding of semiconductor logic design and verification
• Basic knowledge or skills in machine learning
• Proficiency in one or more scripting languages (PERL, Python, TCL, etc.)
• Ability to demonstrate strong analytical and problem-solving skills
• Good oral and written communication skills in English
Preferred Knowledge/Skills, Education, and Experience:
• Actual experience in ML feature engineering, model training, model testing and optimization
• Experience defining and implementing complex algorithms in software
• Circuit design and/or verification experience
• IC Design CAD tools (Preferably Calibre)
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
The salary range for this position is $32.69/hr to $58.84/hr 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).
#Atlas
#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 [redacted]. 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.