Company:

Qualcomm Semiconductor Limited:

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm provides complete chipset solution that includes CPU, Modem, Application Processor, Multi-media engines, Interconnect and more. Power and performance are a key area that drives the value of our chips. As fabrication technology node shrinks, and performance requirement become higher, it is crucial to provide power and performance optimized solutions, which is the responsibility of the group that you will be working in.

Multimedia systems team has an exciting opportunity to work on best-in-class technologies of Camera, Video encoding/decoding, and Computer Vision. These technologies are the heart of billions of Snapdragon devices across the globe. The team is responsible for system level architecture; and analysis, budgeting and optimization of all multimedia use cases for achieving lowest power and best performance. We are looking for a fresh grad or Senior level Engineer with educational background and/or experience in system level architecture and HW/SW co-design for power and/or performance optimization. Your work will have the potential to shape the most power and performance efficient devices in the hands of millions of Snapdragon users.

Key responsibilities:

• Come up with most efficient multimedia system architecture to satisfy power, performance and cost requirements.

• Analyze power for selected use-cases using our power flows and system models for selected architectures.

• Roll out architectural power analysis and optimization proposals to HW and SW design teams.

• Follow up through the execution and commercialization of SOC products to make sure PPA goals are met, and modeling assumptions are validated.

• Collaborate with cross-functional teams to integrate power solutions into multimedia camera, video, computer vision sub-systems.

• Stay informed about industry trends and technologies related to power optimization in mobile devices.

• Engage in customer support activities, work with our customer OEMs to optimize power for their use-cases on their devices, address inquiries related to power and thermal issues of customer devices and provide technical solutions.

Minimum Requirements:

• Bachelor's degree in computer engineering, information systems, computer science, or related field.

• 1+ years’ experience working on low power design, familiarity with power simulation tools and power analysis & optimization methodologies.

• Basic knowledge of computer architecture, and HW/SW systems design and SoC design flows and methodologies.

• Basic programming skills for scripting and automation tasks.

Preferred Requirements:

• Master's or higher degree in Electrical Engineering, Information Systems, Computer Science, or related field.

• Related course work and/or 2+ years’ experience working on systems analysis and modeling using various modeling tools at a detailed level.

• Related course work and/or 2+ years’ experience with system level aspects of low power design with the ability to model and analyze power and performance at system level.

• Related course work and/or experience in one or more areas of camera/image processing, video compression, computer vision fields.

• In-depth understanding of power efficiency in multimedia systems and the ability to meet and exceed customer power performance targets.

• Strong programming skills in C++ for system modeling work and in Python for scripting and automation tasks.

• Preference on Knowledge or experience of Android Open-Source Platform and Camera Architecture

• Certain extent of traveling to mainland China required to work with OEMs

• Familiarity with customer support practices and excellent communication skills

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR
  Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
  OR
  PhD in Engineering, Information Systems, Computer Science, or related field.

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