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Job Area:
Engineering Group, Engineering Group > Systems Engineering
Job Overview
You will be part of Automotive Product Performance team that is responsible for enabling new technologies and optimizing application and System performance on Snapdragon Automotive chipsets.
Responsibilities include:
Drive Hardware Validation and Performance analysis on silicon using various System and Cores (i.e. CPU, GPU, Memory and AI/ML) benchmarks like Dhrystone, Antutu, GeekBench, GfxBench, SpectInt, Resnet etc.
Use of Performance tools to analyze the load patterns across IPs and identify any performance bottlenecks in system.
Analyzing Performance KPIs of Auto SoC subsystems like CPU, GPU, NSP, Memory, Camera, Display, Video and corelate performance with projection
Evaluate and characterize performance at various junction temperatures and optimize to run at high ambient temperatures.
Analyze and optimize the System performance parameters of SoC infrastructure like NoCs, LP5 DDR, etc.
Collaborate with cross-functional global teams to plan, execute performance activities on Auto chipsets as well make recommendations for next generation chipsets.
Evaluate new benchmarks, cross-compile on different OS’es and performance optimize for QCOM chipsets.
Follow closely on the latest compiler options to optimize performance for ARM chipsets and evaluate performance power tradeoffs.
Evaluate performance of Hypervisor operating systems with benchmarks and real-world multi display and multi camera concurrency applications on multiple Guest VMs and identify the overhead and interrupt latency times
Understand necessary OS internals and SW architecture that helps optimize the performance of overall system.
Minimum Qualifications
4+ years of industry experience in the following:
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 quick learner and should be able to adapt to new technologies. · Strong experience in optimizing SW performance in any Linux based operating system.
Prior experience in compiling large code base & exposure to software development life cycle.
Must have excellent communication skills.
Qualifications
Additional skills in the following areas are preferred:
Knowledge on Computer architecture, LP5 DDR, Bus/NOC profiling is 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 plus.
Experience in Proof of Concept development and competitive analysis Knowledge on Voltage/Power/Thermal domain is plus.
Knowledge on Android Software architecture or Westin, GWES is a plus
Exposure to any Automotive operating systems like AGL, QNX, Hypervisor or GreenHills.
Candidates with Machine learning\Deep learning and exposure to AI accelerators.
Requirements
Required: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering.
Preferred: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering
Architecture Performance, System Performance, Automotive Performance, Benchmarks, Thermal Performance, UX optimization, QNX, Hypervisor, Application Development
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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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