General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.
Minimum Qualifications:
Job Role:
* Develop new/existing tools that will change the way chips are designed, by reducing long-loop iteration and enabling deeper explorations of the chip design solution space.
* Identify new opportunities to apply Machine Learning in chip design, exploring advanced ML solution technologies
* Developing/Testing/Tuning ML algorithms, and writing/deploying/supporting production-ready software to chip design teams
* Should drive new tool evaluation, methodology refinement for PPA optimization
Skill Set:
*Strong programming experience & Proficiency in Python/Tcl/C++
* Familiar with Physical Design Life cycle of chip development, especially Floorplanning and PnR
* Working experience in machine learning and deep network architectures & machine learning framework/packages (e.g, PyTorch, TensorFlow)
* Familiarity with standard software engineering practices like Version
Control, Configuration Management, Regression is a plus
* Should be sincere, dedicated and willing to take up new challenges
Experience:
*Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*Experience as a software engineer in developing applications such as EDA tools .as well as experience in full development cycle of Machine Learning applications is a plus.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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