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Job Area:
Engineering Group, Engineering Group > Hardware Engineering
In this role you will be solving following domain challenges through various SW engineering i.e. AI/ML, Data Analytics, Distributed Processing, GUI :
Algorithmic problems like optimizing partitioning of chip RTL across FPGA.
Solving computational problems like how place and route can be made faster, efficient use of multiprocessing in cloud, optimize memory footprint of algorithms.
Develop Big Data Analytics & AI technologies for decision support & automation.
Bundle technical innovations & deploy then through GUI or automation.
You are expected to perform following duties
Develop Algorithms, Big Data Analytics, AI/ML, GUI, Automation applications.
Development & Test of New Software & Features.
Plan with Team lead, take responsibility of in time delivery and quality.
Train and Support Internal teams in issue resolution.
Contributing towards the continuous development of Tools, Technology and Flows
Minimum Qualifications:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
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.
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