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 Thermal Data Analytics Engineer - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Components
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200206040 / Latpro-3761683 
Date posted: Nov-11-2020
State, Zip: California, 95014


Thermal Data Analytics Engineer

Santa Clara Valley (Cupertino) , California , United States



Posted: Nov 11, 2020

Weekly Hours: 40

Role Number: 200206040

The Thermal Design team is currently looking for a highly motivated and self-driven engineer capable of working in the cross-disciplinary domain of thermal management with s strong focus on data analytics.

Key Qualifications

  • The ideal candidate will have 5+ years of industry experience, having been involved in the optimization of consumer electronic devices. Experience in some of the following fields is required:
  • Applied Statistics or Informatics
  • Computer Science or Computer Engineering
  • Large-scale data collection and analysis
  • Design of Experiments
  • General programming/scripting knowledge including R, Perl, Python, JMP
  • Experience in the following areas is highly desirable:
  • Thermal Management
  • Algorithm Development § Operating Systems
  • Control Systems


The group's goal is to optimize the user experience for all Apple products as it relates to balancing tradeoffs between performance, power and temperature. There are many different aspects to this task, and the successful applicant will be able to adapt quickly to new challenges, be very attentive to details, work with cross functional teams to identify solutions, and drive implementation. As an engineer working in the Thermal Design team, you will have responsibilities spanning all aspects of system-level trade-offs: -Perform data collection -Develop new experiments, test methodologies and automation -Perform advanced statistical analysis, interpret results, and communicate effectively with cross functional teams, including software engineering, hardware engineering, and management -Work efficiently on multiple projects simultaneously

Education & Experience

MS in CE/CS/ME/EE or equivalent experience


See job description


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