Performance & Thermal Intern, Platform Architecture
Job Summary:
Are you highly detailed and skilled at developing creative solutions? Do you enjoy
building sophisticated solutions to highly complex challenges? Join this team and you
will analyze the caliber of performance, power and thermal control systems and gauge
its impact on performance of electronic devices and inform future direction. This work is
a vital component of the quality and efficiency of Apple s future products. Join this
group, and you ll have a direct impact on the technology that shapes Apple s customer
experiences. Together, our work will be the reason millions of customers feel they can
trust their devices every single day.
Apple s Platform Architecture team is looking for an enthusiastic Engineer with a strong
background in control systems, computer architecture, power measurements and
performance characterization. We are seeking a team member who is self-driven with
initiative and passion for hardware management of consumer products. In this role, you
will evaluate the goodness of HW management systems. You will define key evaluation
metrics, create experimental design and characterize control systems. You will be
responsible for end-to-end execution and analysis.
Key Qualifications:
Background in:
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Hardware and software control systems
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Performance/ power/ thermal management algorithms
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Gathering performance data for computer hardware and/or mobile devices
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Data processing language/library such as Python3, Pandas, Scipy, Numpy,
Matplotlib, Matlab or similar
Fundamental knowledge of embedded processors, with in-depth knowledge of
real time operating system concepts
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Sharp eye for benchmarking tools for product evaluation and high focus on user
experience for experiment design
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Experience with data analytics and data visualization tools
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Desired Skills:
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Proficiency and examples of coding in one of the languages including but not
limited to: Java, C/C++,Python, Unix.
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Strong object-oriented design skills, coupled with a deep knowledge of data
structures and algorithms
Education:
MS or Ph.D student in EE or CE or equivalent work experience