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GPU Infra Engineer
2 months ago
Company:
Job Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:
Job DescriptionGeneral Summary:
The Qualcomm Graphics Systems Team is looking for talented engineers to help improve the efficiency of our Adreno GPU Development team. As a member of the Infrastructure team, you will work closely with high-level modeling, hardware design, verification, driver, compiler, performance, pre- and post-silicon teams to configure, debug, optimize test plans and their execution on our compute farm and develop tools to report and analyze the results. We develop design automation tools, CI/CD and test/verification workflows, and you will deal with large Linux and Windows compute farms, Web servers, SQL and noSQL databases, Python, Ruby, Perl, and contribute to our migration to cloud storage and Kubernetes clusters.
Ideal Candidate will have:
Bachelor degree in Electrical Engineering, Computer Science.
8 -12 years experience in related fields.
Strong programming skills
Preferred Qualifications:
Experience with development in Python and/or Ruby, C++, full-stack Web
Experience with GPU HW or SW
Minimum Qualifications:
• 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.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
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