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Neural Engine HW Modeling Engineer, Platform Architecture

Apple

Company : Apple

Location : Santa Clara, CA, 95053

Posted Date : 15 September 2025

Job Type : Other

Category : Architecture

Occupation : Architecture

Job Details

Neural Engine HW Modeling Engineer, Platform Architecture

Pay Competitive

Employment type: Other

Job Description

Req#:

Summary

Do you love crafting elegant solutions to highly complex challenges? Are you a big-picture visionary who understands how each element affects all the others? At Apple, our Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture, develop algorithms for platform power, performance, and thermal management, and develop forward-looking prototype systems as well as build and deploy software development tools that will be distributed to the Apple engineering community. Join this team and help build the seamless technology experiences we’re known for worldwide!

The Platform Architecture team is looking for a Neural Engine HW Modeling Engineer who will work on performance modeling and/or compiler prototyping for the next-generation Neural Engine HW architecture.

Key Qualifications

  • B.S. and a minimum of 3 years relevant industry experience. M.S. or Ph.D. in EE/CS preferred.
  • Excellent programming skills in C++ and Python.
  • Solid understanding of DNN acceleration architectures and their key performance tradeoffs.
  • Familiarity with state-of-the-art DNN workloads and their compute and memory requirements.
  • Ability to write performance models of HW accelerators using transaction and cycle-level abstractions.
  • Ability to prototype software frameworks (such as compilers) for mapping DNN workloads to HW accelerators.
  • Familiarity with digital design and verification flows is preferred.
  • Familiarity with SoC interconnect fabrics and their implications to HW acceleration IPs is preferred.
  • Strong communication skills and ability to work across various groups.

Description

As a modeling engineer, you will work with other HW engineers and architects to create accurate performance models to inform architectural decisions for the next-generation Neural Engine. In addition, you may work on prototyping software frameworks (such as compilers) for mapping and optimizing DNN workloads on the Neural Engine. Cross functional collaboration with HW design/verification teams as well as SW teams is an important part of this role. Excellent programming skills in C++ and Python is required.

Education & Experience

B.S. and a minimum of 3 years relevant industry experience. M.S. or Ph.D. in EE/CS preferred.

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 $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
  • Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

About the company

Work at Apple! Join a team and inspire the work. Discover how you can make an impact: See our areas of work, worldwide locations, and opportunities for students.

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