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 Deep Learning Firmware 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: Engineering - Electrical
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: 200199213 / Latpro-3758946 
Date posted: Oct-22-2020
State, Zip: California, 95014


Deep Learning Firmware Engineer

Santa Clara Valley (Cupertino) , California , United States



Posted: Oct 21, 2020

Role Number: 200199213

We live in a mobile and device driven world, where Deep Learning technology enables a new class of applications. Are you passionate about enabling unique user experiences such as Face ID, Animoji, and AR games? Imagine the countless possibilities powered by Artificial Intelligence. In the Camera Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads. The Apple Neural Engine Firmware team is working on exciting technologies for future Apple products. We're looking for a driven and dedicated engineer to work on the next generation of Apple products.

Key Qualifications

  • Experience with SoC or/and GPU acceleration for AI
  • Experience with SW/HW parallelism, and asynchronous processing
  • Experience with embedded systems, and real time OS development
  • Experience with low level OS/driver programming
  • Excellent programming skills of C/C++
  • Excellent software design, problem solving and debugging skills
  • Good understanding of Deep Learning workloads
  • Excellent communication and teamwork skills


You will implement control and manage Apple Neural Engine SoC, with an emphasis on performance and power and stability. You will add support for new hardware feature into the Apple Neural Engine firmware stack. You will run performance analysis and optimization of ML workloads running on Apple Neural Engine. You will evaluate existing hardware blocks and contribute to the definition of new hardware blocks. You will collaborate with the hardware team to review hardware specifications; in addition, you will work closely with the design and micro-architecture team to understand the functional and performance goals of the design, and design appropriate tests. You will also partner with the driver/compiler teams to integrate HW acceleration in our software stack.

Education & Experience

Master's degree or higher in Computer Science or equivalent field.


See job description


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