Neural Engine Architect, Platform Architecture at Apple
Cupertino, California, USA -
Full Time


Start Date

Immediate

Expiry Date

10 Jun, 25

Salary

312200.0

Posted On

11 Mar, 25

Experience

15 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Neural Networks, Performance Improvement, Compilers, Computer Vision, Nlp, Natural Language Processing, Communication Skills, Transformer, Computational Photography, Python, Image Processing

Industry

Information Technology/IT

Description

SUMMARY

Posted: Jan 30, 2025
Role Number:200588549
At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you’ll collaborate with engineers across Apple to design how all of our technologies work in unison. We are looking for a Neural Engine Architect who will help us build future hardware platforms for intelligent mobile devices.

DESCRIPTION

In this highly visible role, you’ll work with other architects building the next-generation Neural Engine-ML HW Accelerator enabling power-efficient ML user experiences in many of Apple’s products. You’ll work with SW/applications teams on driving future requirements on machine learning/computer vision applications, prototype them in C++/Python, write architecture spec, and work with SW/HW design teams for SW/HW implementation.

MINIMUM QUALIFICATIONS

  • Expertise in HW architecture, computer/CPU architecture, or GPU architecture
  • Programming skills in C++/C and Python
  • Experience analyzing ML workloads on different HW architecture-profiling and identifying the performance bottleneck in the system, coming up with suggestions for performance improvement either at algorithm, SW or HW level
  • BS degree

PREFERRED QUALIFICATIONS

  • 15+ years of relevant experience
  • Expertise in machine learning algorithms, Transformer, convolutional neural networks and their applications in Generative AI, NLP, computer vision and image/video processing
  • Understanding of system implications of aforementioned algorithms in terms of performance and power on a given HW architecture
  • Knowledge in LLM pipeline, image processing, camera pipeline, computational photography and natural language processing
  • Knowledge in compilers
  • Communication skills and ability to work across various groups
  • MS or PhD degree
Responsibilities

Please refer the Job description for details

Loading...