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Job Description
Job Title: Hardware Engineer at Qualcomm India Private Limited
Qualcomm is a leading technology innovator that 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.
About the Job:
- Plan, design, optimize, verify, and test electronic systems, 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.
- Collaborate with cross-functional teams to develop solutions and meet performance requirements.
Requirements:
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
- OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
- OR Ph.D. in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
Responsibilities:
- Working on Qualcomm Snapdragon CPUSS Architecture and performance team.
- Responsible for analyzing the performance aspects of Snapdragon CPU subsystem and influence the same for performance uplifts in upcoming revisions.
- Guide the execution team by projecting CPUSS performance in upcoming chips and correlating them with pre-silicon runs and post-silicon measurements.
- Responsible for driving deep dive analysis on performance issues, bottleneck providing fixes or workarounds on CPU subsystem and related SOC Modules.
Essential Skills and Experience:
- Familiar with Microprocessor and/or SoC Architecture and micro-Architecture, preferably ARM processors and ARM processor-based systems.
- Experience of ARM-based System Designs, Knowledge of CPU and hierarchical memory system, cache configurations and coherency issues in multi-core systems.
- Experience with workload performance characterization, bottleneck analysis, and driving microarchitecture investigations on CPU/GPU/Systems with relevant performance matrix.
Desirable Skills and Experience:
- Strong data analysis skills to identify performance trends from large data sets and the technical bent to investigate anomalies.
- Understanding of Linux and Android internals from a performance point of view.
- Strong programming experience in at least one language: C/C++, Perl, Python.