MTS Tapeout Engineering
Austin, TX
About GlobalFoundries:
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Summary of Role:
Develop core software solutions involving data engineering, advanced analytics, and machine learning applications to advance automation, analytics insights, and predictive modeling effort.
Essential Responsibilities:
Develop core software solutions involving data engineering, advanced analytics, and machine learning applications to advance automation, analytics insights, and predictive modeling effort. Participate in the entire application lifecycle from concept to deployment, and engage with stakeholders across the global team. Understand data systems and engineer the data as needed to enable analytics and machine learning application development Work with internal customers to understand application requirements and refine project proposals. Perform feasibility studies, develop applications, and work with stakeholders to deploy applications in a low-risk posture. Present project status to peers and the leadership team as needed. Solve complex technical problems and contribute to multiple projects at the same time. Develop and refine business processes, including best practices around the application life cycle, risk assessment and mitigation. Provide coaching, training, mentorship as needed to peers who are new to the advanced data analytics/machine learning field.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
Required Qualifications:
- Education – Master’s degree or foreign equivalent in Electrical Engineering, Computer Engineering, Applied Mathematics, or a related field of study.
- Experience - 4 years of industrial experience in design enablement, tapeout automation, advanced data science, and machine learning. Four years of experience is required in (1) tapeout engineering, (2) design-to-silicon cycle, including tapeout flow and resulting data files, (3) design enablement, (4) machine learning, (5) advanced data analytics, (6) cluster environment, Linux, (7) software development lifecycle, (8) Project ownership, (9) Python, Perl, Tcl, (10) EDA tools (Calibre, Brion).
Salary range: $134,472 – $158,600
Expected Salary Range
Salary Range: $134,472- $158,600
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law
