visionOS Performance Engineer
Apple
visionOS Performance Engineer
Job Description
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. 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.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- performance engineeringintermediate
- ANE efficiencyintermediate
- visionOS optimizationintermediate
- performance bottleneck diagnosisintermediate
- compute optimizationintermediate
- memory footprint optimizationintermediate
- Computer Visionintermediate
- Apple Intelligenceintermediate
Required Qualifications
- Minimum BS and 1+ years of relevant industry experience (experience, 1 years)
- Strong programming ability in Python, C/C++ or Swift (experience)
- Strong written and verbal communication skills (experience)
- Understanding of Computer Architecture, Operating Systems, Threading models and performance controllers (experience)
- Experience with optimizing inference latency, memory and compute. (experience)
Preferred Qualifications
- Proficiency with PyTorch, Tensorflow or CoreML (experience)
- Knowledge of AI/ML fundamentals including model architecture analysis, ML inference performance optimization for a given hardware architecture. (experience)
- Familiarity with optimizing model architectures for on-device inference is a big plus. (experience)
- Familiarity with Computer Vision, Transformers and LLM architectures. (experience)
Responsibilities
- 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.
- 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
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Answer 10 quick questions to check your fit for visionOS Performance Engineer @ Apple.
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visionOS Performance Engineer
Apple
visionOS Performance Engineer
Job Description
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. 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.
Locations
- San Francisco Bay Area, California, United States
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- performance engineeringintermediate
- ANE efficiencyintermediate
- visionOS optimizationintermediate
- performance bottleneck diagnosisintermediate
- compute optimizationintermediate
- memory footprint optimizationintermediate
- Computer Visionintermediate
- Apple Intelligenceintermediate
Required Qualifications
- Minimum BS and 1+ years of relevant industry experience (experience, 1 years)
- Strong programming ability in Python, C/C++ or Swift (experience)
- Strong written and verbal communication skills (experience)
- Understanding of Computer Architecture, Operating Systems, Threading models and performance controllers (experience)
- Experience with optimizing inference latency, memory and compute. (experience)
Preferred Qualifications
- Proficiency with PyTorch, Tensorflow or CoreML (experience)
- Knowledge of AI/ML fundamentals including model architecture analysis, ML inference performance optimization for a given hardware architecture. (experience)
- Familiarity with optimizing model architectures for on-device inference is a big plus. (experience)
- Familiarity with Computer Vision, Transformers and LLM architectures. (experience)
Responsibilities
- 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.
- 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
Tags & Categories
Answer 10 quick questions to check your fit for visionOS Performance Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs