1+ months

SoC Performance Architecture -- Hardware / Software / Systems(CPU, GPU, DSP, Compute)

Qualcomm
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Job Id E1977420
Job Title SoC Performance Architecture -- Hardware / Software / Systems(CPU, GPU, DSP, Compute)
Post Date 04/14/2020
Company Qualcomm Technologies, Inc.
Job Area Engineering - Systems
Location California - San Diego
Job Overview Qualcomm's Chip Architecture multi-site team of hardware, software architects and systems engineers are driving analysis and defining next-generation architectures for our system-on-chip (SoC) products for the smartphone, tablet, connected camera, wearable, IoT, Automotive and other product categories. We have exciting & dynamic technical positions available in the following areas of expertise: Digital SoC systems, CPU, DSP, GPU, Machine Learning, Multimedia, Compute, Performance and Power.

Skills/Experience:

  • BS Degree required, MS degree in related field highly desired
  • Computer Architecture Background
  • Excellent communication and interpersonal skills
  • Demonstrated ability to collaborate on projects with multiple teams and disciplines
  • Ability to develop and improve methodologies for experiments and analysis in the specific area of expertise
  • Experience or Education involving hardware, micro-architecture and software

    Description:

    A successful candidate will engage collaboratively across the company with core Hardware design & verification, Software, Marketing and product planning teams to architect market-leading SoC products with best-in-class performance and power. The candidate will drive efforts to develop and prototype new system solutions and approaches. These products will empower customers with a new class of powerful emerging workloads like augmented reality, virtual reality, machine learning, automotive, and IoT. This candidate will be in a highly visible position with an excellent opportunity to influence Qualcomm's technical direction, to lead the industry and change the world!

    Possible Assignments Depending on Area of Expertise :

    The successful candidate will engage collaboratively across the company with core HW design & verification, SW, marketing, and product planning teams, to:

  • Architect market-leading smartphone, tablet, connected camera, wearable, IoT, Automotive and other SoC products with best-in-class performance and power
  • Conduct hands-on workload analysis including algorithm optimization and analysis of performance and/or power characterizations to help define our SoC architecture plans;
  • Collaborate with HW and SW teams to define best-in-class multimedia, modem, compute and memory technologies;
  • Deploy simulators, profilers, or even real hardware to provide quantitative justification for architectural directions;
  • Directly apply computer architecture knowledge of CPUs, GPUs, DSPs, cache coherency, virtual memory, etc.;
  • Effectively communicate experimental results, review with technical leads and peers, analyze outstanding issues;
  • Creatively overcome obstacles to obtain the answers to architectural questions;
  • Invent and file patents on technical solutions to relevant problems;
  • Collaborate within a rapidly growing and world-class computer architecture team!
  • All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
    Minimum Qualifications
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Preferred Qualifications Areas of Expertise (the more the better):

    Candidates should have one or more of the following areas of knowledge and/or expertise:

  • Digital Hardware Design
  • Verification/Test
  • Operating systems
  • Data structures
  • Embedded Systems
  • SystemC/C++
  • Graphics Architecture/systems
  • Power and/or performance optimization, simulation and modeling
  • ARM CPU/Neon Algorithm Design/Optimization
  • DSP Algorithm Design/Optimization
  • GPGPU Exposure/Experience
  • Open CL/GL Exposure/Experience
  • Linux/Android Exposure/Experience
  • Perl/Python/Other Scripting Knowledge
  • Machine Learning
  • Education Requirements Required: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering
    Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering
    Keywords

    Categories

    Posted: 2020-01-10 Expires: 2020-06-15

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