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Apple Neural Engine Engineer Platform Architecture United States, California, Cupertino 590946073
Yesterday
Description
In this highly visible role, you’ll work with other engineers 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
- 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
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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