System Performance Engineer (CPU, GPU, AI/ML) for Automotive System Performance Team

You will be part of the Automotive System Performance team at Qualcomm India Private Limited, responsible for profiling and optimizing the System Performance on Snapdragon Automotive chipsets. Responsibilities Include: - Drive Performance analysis on silicon using various System and Cores benchmarks like Dhrystone, Antutu, GeekBench, GFXBench, SPECInt, ResNet50 etc. - Use Performance tools to analyze load patterns across IPs and identify any performance bottlenecks in the system. - Analyze Performance KPIs of Auto SoC subsystems like CPU, GPU, NSP, Memory, Camera, Display, Video and correlate performance with projection. - Evaluate and characterize performance at various junction temperatures and optimize running at high ambient temperatures. - Analyze and optimize the System performance parameters of SoC infrastructure like NoC, LP5 DDR, etc. - Collaborate with cross-functional global teams to plan and execute performance activities on Auto chipsets as well as make recommendations for next-generation chipsets. Minimum Qualifications: - 7+ years of industry experience working on any ARM/x86 based platforms, mobile/automotive operating systems, and/or performance profiling tools. - Experience in application or driver development in Linux/QNX and ability to create/customize make files with various compiler options is a plus. - Must be a quick learner and adaptable to new technologies. - Must have excellent communication skills. Preferred Qualifications: - Knowledge of Computer architecture, LP5 DDR, Bus/NOC profiling is a big plus. - Fundamentals on any Automotive operating system like AGL/QNX/Hypervisor & experience working on any Automotive applications. - Basic Knowledge on any multimedia frameworks like OpenGL/ES, OpenMax, and OpenCL is a plus. - Experience in creating professional quality reports and slides using MSOffice or any advanced visualization tools. - Experience in PoC development and competitive analysis. Knowledge of Voltage/Power/Thermal domain is a plus. Education Requirements: - Required: Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering. - Preferred: Master's degree in Computer Engineering, Computer Science, or Electrical Engineering.,