לוח משרות דרושים מהנדס פיזיקה

our company is a cutting-edge national facility supporting our computing research and development for both academia and industry. the iqcc is managed and operated by our machines (qm), the global leader in quantum computing control systems. our state-of-the-art lab includes advanced infrastructure with several dilution refrigerators and a wide array of quantum and classical devices.
the iqcc offers unique opportunities for talented phd students seeking an internship opportunity at a world-class facility. we are looking for brilliant, versatile, and fast-learning interns with a strong can-do attitude to become a part of the core iqcc team, working on a our computer with 20+ superconducting qubits, assisting in its calibration, integration and assembly, through qms opx1000 control platform. he/she will gain unique experience with the worlds top cryogenic systems and participate in cutting edge research projects with the leaders of industry and academia. the ideal candidate should have experience working with our systems and should be ready to move to israel to work on-site in the iqcc for a period of 4-6 months.
responsibilities:
support the calibration and optimization of superconducting qubits chip
participate in research projects that aim to develop new calibration protocols for faster and higher quality gates
gain a deep understanding of our state-of-the-art control system
assist in the day-to-day operation of the lab.

in this role, you will help build socs by driving quality and reliability processes from the integrated circuit (ic) perspective. working with various cross-functional teams, you will develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute TEST plans. within the larger organization, you will collaborate with global hardware quality and reliability, silicon design, validation, and engineering teams. you will have an understanding of ic flows, wafer processing, testing, qualification, yield, reliability, and failure analysis.the ml, systems, & cloud ai (msca) organization at google designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all google services (search, youtube, etc.) and google cloud. our end users are googlers, cloud customers and the billions of people who use google services around the world. we prioritize security, efficiency, and reliability across everything we do - from developing our latest tpus to running a global network, while driving towards shaping the future of hyperscale computing. our global impact spans software and hardware, including google clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
define and lead qualification hardware and TEST developments in front of internal teams and external vendors.
define and execute silicon and package qualification activities (e.g., htol, elfr, esd/lu, b/hast, thb, etc.).
extract, manipulate, and analyze large volumes of data from silicon and package qualification programs (e.g., htol, elfr, esd, lu, uhast, tct, etc.), high volume mfg, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield, quality, and reliability improvement.
own cross-functional investigation of ic quality and reliability issues to identify root causes and develop solutions (e.g., rma triage, analytics, failure analysis, etc.).
develop and implement physics-based statistical quality and reliability models (e.g., elf, tddb, nbti, hci, time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.