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Apple
California, United States
(on-site)
Posted
8 days ago
Apple
California, United States
(on-site)
Job Function
IT/Software Development
visionOS Performance Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
visionOS Performance Engineer
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionAs 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.
Responsibilities
- Analyze, benchmark and identify performance bottlenecks for ML/Foundation models in Vision Pro
- Develop in-house performance solutions (such as analysis tools) to optimize inference stack & identify performance wins.
- Conduct deep-dive analysis to identify & reduce bottlenecks and measure inference improvements in terms of memory, compute and latency.
- Partner with feature and product teams to consult on algorithm and SW architectural design decisions to achieve visionOS performance goals
- Optimize Software and Hardware via tunable parameters & integrate research findings into product implementation
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.
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 .
Job ID: 80810219

Apple
Cupertino
,
California
,
United States
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
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