Staff Systems Engineer

1 month ago

Hyderabad, Telangana, India Qualcomm Full time

Job Title: Staff Systems Engineer

Company: Qualcomm

Job Area: Engineering Group, Engineering Group > Systems Engineering

Job Summary:

Qualcomm is seeking an experienced Chipset Power System Engineer to solve power challenges and develop innovative solutions for optimizing power for next generation Snapdragon automotive chipsets.

The engineer will lead a cross-functional engineering team to model SOC/chipset power and come up with innovative solutions to optimize hardware and software to enhance SOC and chipset and achieve world-class chipset low power consumption.

Responsibilities:

  • Power architecture and tradeoff analysis
  • Chipset and system level power modeling, analysis and optimization for SOC, chipset and platform solutions.
  • Identify power requirements and quantify power gap/risk areas.
  • Optimize power efficiency and performance of present generation designs and help architect future products.
  • Guide multi-function groups through the design cycle in realizing the power targets set forth at the inception of the project.
  • Design of power features and work with cross functional teams (systems, software, hardware, silicon process, production test, etc.).
  • Customer interaction to advertise the capabilities of the chipset, and to understand and address specific power requirements.
  • Power modeling of customer-specific use cases and designs.

Requirements:

  • A Master's degree in Electrical Engineering or equivalent field is required as a minimum.
  • A minimum of 10 years of professional experience in one or more of the following areas is preferred.
  • Analysis and design of low power features at SOC, chipset or platform level.
  • Architectural knowledge in application processor, modem processor, AR/XR, machine learning, automotive or computing.
  • System knowledge of automotive SOC or chipset.
  • Hardware or software design or optimizations of low power features.
  • System level power modeling and analysis.
  • Understanding of machine learning networks for Automotive applications (ADAS, IVI and GENAI)

Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
  • OR
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
  • OR
  • PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Equal Opportunity Employer: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Confidentiality: 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.

Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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