Posted:3 months ago|
Platform:
Work from Office
Full Time
Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Individuals who possess skills/experience in one or more of the following are requested to apply: Preferred Qualifications:Areas of Expertise (the more the better): Working experience with Complex Embedded Systems, Mobile/IOT/Auto domains preferred. Expertise in fields such as power / performance use cases , system modeling, SOC Profiling, PPA tradeoffs, post silicon bring up, and product qual. Firm grasp of computer architecture and OS fundamentals Post Silicon System Validation of SOC Performance, Architecture Analysis and Feedback to future products. Analyzing the power-performance data for various CPU, GPU, AI workloads / benchmarks Conducting detailed workload characterization and sensitivity analysis Develop and enhance analysis tools and instrumentation to assist in analysis, identifying performance gaps and optimization options CPU microarchitecture including cache, Latency, BW analysis, etc. Linux/Android kernel development, device driver development and Android architecture experience Collaborate with the architecture team on power-performance trade-off analysis as part of product definition. Power and/or performance optimization, CPU, SOC SW DCVS/DVFS Governors exposure Working experience at System level, Linux kernel internals / system programming Collaborate with internal teams and external partners for analysis and optimizations Lab Hands-on: with Power Data Acquisition/DAQs, Oscilloscope, JTAGs, ARM Developer Studio exposure Exposure to ADB shell, shell scripts, Python scripts, Understanding of Linux/android systems , automation scripts/environment Exposure to Git, Jira, Android and QTI tools Good communication skills, presentation skills and should manage his/her tasks independently Acts as a tech lead on projects and owns the outcome of the project. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues 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.
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