Job Details

Job Information

visionOS Performance Engineer
AWM-7947-visionOS Performance Engineer
10/26/2025
10/31/2025
Negotiable
Permanent

Other Information

www.apple.com
San Francisco, CA, 94103, USA
San Francisco
California
United States
94103

Job Description

No Video Available
 

Weekly Hours: 40

Role Number: 200627670-3401

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

The Vision Product Group at Apple is working on exciting new technologies. We are looking for a driven and dedicated performance engineer. This team is building the core foundational platform for some of Apple's most advanced technologies in spatial computing. As part of our creative organization, you will have a uniquely rewarding opportunity to craft future products that will delight and inspire millions of people every day.

Description

As an engineer in this role you will help with ANE efficiency as well as improving overall visionOS responsiveness. You will work closely with Computer Vision and Apple Intelligence teams to diagnose performance bottlenecks and develop innovative solutions to optimize compute and memory footprint.

Minimum Qualifications

  • Minimum BS and 1+ years of relevant industry experience

  • Strong programming ability in Python, C/C++ or Swift

  • Strong written and verbal communication skills

  • Understanding of Computer Architecture, Operating Systems, Threading models and performance controllers

  • Experience with optimizing inference latency, memory and compute.

Preferred Qualifications

  • Proficiency with PyTorch, Tensorflow or CoreML

  • Knowledge of AI/ML fundamentals including model architecture analysis, ML inference performance optimization for a given hardware architecture.

  • Familiarity with optimizing model architectures for on-device inference is a big plus.

  • Familiarity with Computer Vision, Transformers and LLM architectures.

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 $147,400 and $220,900, 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. (https://www.apple.com/careers/us/benefits.html)

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 seek to promote 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. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Other Details

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