Power Systems Engineer
Job Description
- Understanding of machine learning networks for Automotive applications (autonomous drive, digital cockpit and Generative AI)
- Lead a cross-functional engineering team to model SOC/chipset power
- Come up with innovative solutions to optimize hardware and software to enhance SOC and chipset and achieve world-class chipset low power consumption
- Be involved in all stages of the design and development cycles guiding the power-efficient design of the end-end solution
- 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
- Master’s degree in Electrical Engineering or equivalent field is required as a minimum
- Minimum of 10 years of professional experience
- World-class health benefit option providing world-class coverage to employees and their eligible dependents
- Programs designed to help employees build and prepare for a financially secure future
- Self and family resources to build emotional/mental strength and resilience, as well as define your purpose — in life and at work
- Wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between
- Continuous learning and development programs
- Tuition reimbursement
- Mentorships
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > PPT Systems Engineering General Summary: Qualcomm is looking for an experienced Chipset Power System Engineer who is passionate in solving power challenges and develop innovative solutions for optimizing power for next generation Snapdragon automotive chipsets. The engineer is expected to 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. In this position, the engineer will be involved in all stages of the design and development cycles guiding the power-efficient design of the end-end solution. Responsibilities include: -- 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. 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 (autonomous drive, digital cockpit and Generative AI) is a plus.
