Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
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:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
Qualcomm is a company of inventors that unlocked 5G & On Device AI, ushering in an age of rapid acceleration in connectivity and AI with new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs & AI potential into world-changing technologies and products. This is the Invention Age and this is where you come in.
Our Global Emulation team is developing next gen emulation Platform, to accelerate Chip development turnaround time manyfold. We are looking for a Software Technical Lead who can develop core technologies to spearhead User Experience, Algorithmic & Automation challenges of current generation of VLSI flows.
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 Complex Algorithms on Big Data Analytics & Optimization, 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 Science, Engineering, or related field.
5+ years SW development.
Strong Data Analytics aptitude (statistics, charts). Prior work with Python data analytics packages.
Hands on experience on C/C++, Data Structure, Python.
UX Design. Prior Work in Development of GUI (Experience with QT or other GUI Framework)
Strong understanding of Multiprocessing, algorithmic complexities.
Strong analytical & debug skills, aptitude to learn and resolve complex issues
Good Knowledge of AI/ML technologies.
Distributed Computing & Big data Processing.
Experience working in ASIC/Emulation/VLSI domain. VLSI, Netlist Parsing & Analysis
ARM CPU and SoC architectures (ADI/AMBA / ARM v8 etc)
Very Large scale Optimization & Assignment Algorithms
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If you would like more information about this role, please contact Qualcomm Careers.