Apple Neural Engine Performance and Power Engineer
Apple
Apple Neural Engine Performance and Power Engineer
Job Description
At the core of Apple Intelligence revolution lies the groundbreaking Apple Neural Engine. This proprietary hardware accelerator is the key to unlocking real-time, energy-efficient, and high-performance execution of Generative AI models right on your device. As a Performance and Power Engineer in the Apple Neural Engine Software team, you will design and implement novel solutions to help optimize performance and energy efficiency for the AI workloads of tomorrow. This role is an opportunity to leave an enduring mark on the world of technology, having a direct positive impact on millions of Apple customers worldwide! In this highly visible and influential Performance and Power Engineer role within the Apple Neural Engine Software team, you will be expected to: - Analyze and optimize end-to-end system performance of artificial intelligence applications across a wide range of Apple product platforms - Identify and resolve performance bottlenecks across software and hardware architecture - Collaborate with cross-functional Apple teams including AI/ML, Software and Hardware to design and implement performant solutions - Conduct performance profiling, monitoring and diagnostics using and developing specialized tools - Engage with QA teams to craft performance and power tests on AI workloads
Locations
- Sunnyvale, California, United States 94085
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
- system performance optimizationintermediate
- artificial intelligence applications analysisintermediate
- performance bottleneck identification and resolutionintermediate
- software and hardware architecture knowledgeintermediate
- cross-functional collaborationintermediate
- AI/ML collaborationintermediate
- software collaborationintermediate
- hardware collaborationintermediate
- performance profilingintermediate
- performance monitoringintermediate
- performance diagnosticsintermediate
- tool developmentintermediate
- performance testingintermediate
- power testingintermediate
- QA engagementintermediate
Required Qualifications
- BS and a minimum of 10 years experience with system performance analysis (experience, 10 years)
- Excellent programming skills in C or Python (experience)
Preferred Qualifications
- MS or PhD in computer science, machine learning or related field (degree in phd in computer science)
- Experience in performance or power architecture, modeling or validation (experience)
- Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics (experience)
- Proficiency with profiling and optimizing complex software (experience)
- Experience with distributed computing or hardware acceleration (experience)
- Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly (experience)
- Experience with data visualization tools (e.g., Tableau) is desirable (experience)
- Experience with C++/Swift/Objective-C (experience)
- Strong written and verbal communication skills (experience)
Responsibilities
- In this highly visible and influential Performance and Power Engineer role within the Apple Neural Engine Software team, you will be expected to:
- - Analyze and optimize end-to-end system performance of artificial intelligence applications across a wide range of Apple product platforms
- - Identify and resolve performance bottlenecks across software and hardware architecture
- - Collaborate with cross-functional Apple teams including AI/ML, Software and Hardware to design and implement performant solutions
- - Conduct performance profiling, monitoring and diagnostics using and developing specialized tools
- - Engage with QA teams to craft performance and power tests on AI workloads
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Answer 10 quick questions to check your fit for Apple Neural Engine Performance and Power Engineer @ Apple.
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~2 Minutes
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Apple Neural Engine Performance and Power Engineer
Apple
Apple Neural Engine Performance and Power Engineer
Job Description
At the core of Apple Intelligence revolution lies the groundbreaking Apple Neural Engine. This proprietary hardware accelerator is the key to unlocking real-time, energy-efficient, and high-performance execution of Generative AI models right on your device. As a Performance and Power Engineer in the Apple Neural Engine Software team, you will design and implement novel solutions to help optimize performance and energy efficiency for the AI workloads of tomorrow. This role is an opportunity to leave an enduring mark on the world of technology, having a direct positive impact on millions of Apple customers worldwide! In this highly visible and influential Performance and Power Engineer role within the Apple Neural Engine Software team, you will be expected to: - Analyze and optimize end-to-end system performance of artificial intelligence applications across a wide range of Apple product platforms - Identify and resolve performance bottlenecks across software and hardware architecture - Collaborate with cross-functional Apple teams including AI/ML, Software and Hardware to design and implement performant solutions - Conduct performance profiling, monitoring and diagnostics using and developing specialized tools - Engage with QA teams to craft performance and power tests on AI workloads
Locations
- Sunnyvale, California, United States 94085
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
- system performance optimizationintermediate
- artificial intelligence applications analysisintermediate
- performance bottleneck identification and resolutionintermediate
- software and hardware architecture knowledgeintermediate
- cross-functional collaborationintermediate
- AI/ML collaborationintermediate
- software collaborationintermediate
- hardware collaborationintermediate
- performance profilingintermediate
- performance monitoringintermediate
- performance diagnosticsintermediate
- tool developmentintermediate
- performance testingintermediate
- power testingintermediate
- QA engagementintermediate
Required Qualifications
- BS and a minimum of 10 years experience with system performance analysis (experience, 10 years)
- Excellent programming skills in C or Python (experience)
Preferred Qualifications
- MS or PhD in computer science, machine learning or related field (degree in phd in computer science)
- Experience in performance or power architecture, modeling or validation (experience)
- Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics (experience)
- Proficiency with profiling and optimizing complex software (experience)
- Experience with distributed computing or hardware acceleration (experience)
- Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly (experience)
- Experience with data visualization tools (e.g., Tableau) is desirable (experience)
- Experience with C++/Swift/Objective-C (experience)
- Strong written and verbal communication skills (experience)
Responsibilities
- In this highly visible and influential Performance and Power Engineer role within the Apple Neural Engine Software team, you will be expected to:
- - Analyze and optimize end-to-end system performance of artificial intelligence applications across a wide range of Apple product platforms
- - Identify and resolve performance bottlenecks across software and hardware architecture
- - Collaborate with cross-functional Apple teams including AI/ML, Software and Hardware to design and implement performant solutions
- - Conduct performance profiling, monitoring and diagnostics using and developing specialized tools
- - Engage with QA teams to craft performance and power tests on AI workloads
Tags & Categories
Answer 10 quick questions to check your fit for Apple Neural Engine Performance and Power Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs