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Job Area:
Engineering Group, Engineering Group > ASICS Engineering
The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, and automotive markets. We are seeking a technically strong engineer for the Cloud AI accelerator card validation team. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily across multiple geographies, so good communication, planning and execution skills are a must—you’ll play a pivotal role in shaping the success of our AI accelerator products.
Minimum Qualifications:
• Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.
PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
Key Responsibilities:
Detailed knowledge of PCIe accelerator interaction with server hardware & software.
Linux server based AI accelerator system set-up and debug.
Configure and onboard a variety of Linux servers from multiple vendors.
Knowledge and experience with BIOS, BMC, Linux kernel configuration, PCIe.
Work with development teams to debug and Hardware/software resolve issues.
Hands-on server hardware and PCIe card debug and validation. PCIe, DDRx, LPDDRx, voltage regulators and low speed interface debug experience.
Validation lab management.
Desirable Skills and Aptitudes:
Knowledge of AI accelerators, CPU and test coverage assessment
Familiarity with Lab test equipment, eg. Power Analyzers, Oscilloscopes, Protocol analyzers
RAS validation experience
Memory validation experience (LPDDRx, DDRx and HBM)
PCIe and other HSIO validation and debug
Power circuits debug experience (voltage regulators and PMICs)
High level familiarity with Machine Learning. Knowledge of running on GPU or other accelerators
Performance analysis of Linux servers and AI accelerators.
Object Oriented Programming in python to support lab automation infrastructure.
Some familiarity with Windows PC admin.
Qualifications:
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
:
$140,000.00 - $210,000.00
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