Neural Engine Performance Architect, Platform Architecture
Apple
Neural Engine Performance Architect, Platform Architecture
Job Description
At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all of our technologies work in unison. In this role, you will be part of the Neural Engine IP architecture team and work to improve the performance of the Neural Engine IP through SW optimizations and HW architectural enhancements. As a Neural Engine Performance Architect, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 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 analysisintermediate
- debuggingintermediate
- performance optimizationintermediate
- software optimizationintermediate
- hardware architectureintermediate
- architectural enhancementsintermediate
- collaboration with engineersintermediate
Required Qualifications
- BS degree (degree)
- Experience with C++ and Python (experience)
- Experience with performance profiling of HW or SW (experience)
- Domain knowledge in at least one hardware IP: ML HW accelerators or processing units such as GPUs, ISPs, Video CODECs, CPUs, or similar (experience)
Preferred Qualifications
- MS or PhD degree (degree in phd degree)
- 20+ years of software experience (experience, 20 years)
- Experience writing low level software interfaces to hardware (experience)
- Experience debugging complex system level performance issues (experience)
- Experience writing automation software for data collection and analysis (experience)
- Understanding of OS scheduling and memory management (experience)
- Understanding of ML workloads and deployment for inference (experience)
- Understanding of SoC cache hierarchy and its performance implications (experience)
Responsibilities
- As a Neural Engine Performance Architect, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine.
- Prototyping performant and flexible programming models for the Neural Engine.
- Proposing and driving HW features to improve flexibility and streamline SW for the Neural Engine.
- Defining and implementing performance studies to identify performance bottlenecks in the Neural Engine HW and SW.
- Developing and maintaining tools for performance profiling.
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Answer 10 quick questions to check your fit for Neural Engine Performance Architect, Platform Architecture @ Apple.
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Neural Engine Performance Architect, Platform Architecture
Apple
Neural Engine Performance Architect, Platform Architecture
Job Description
At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all of our technologies work in unison. In this role, you will be part of the Neural Engine IP architecture team and work to improve the performance of the Neural Engine IP through SW optimizations and HW architectural enhancements. As a Neural Engine Performance Architect, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 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 analysisintermediate
- debuggingintermediate
- performance optimizationintermediate
- software optimizationintermediate
- hardware architectureintermediate
- architectural enhancementsintermediate
- collaboration with engineersintermediate
Required Qualifications
- BS degree (degree)
- Experience with C++ and Python (experience)
- Experience with performance profiling of HW or SW (experience)
- Domain knowledge in at least one hardware IP: ML HW accelerators or processing units such as GPUs, ISPs, Video CODECs, CPUs, or similar (experience)
Preferred Qualifications
- MS or PhD degree (degree in phd degree)
- 20+ years of software experience (experience, 20 years)
- Experience writing low level software interfaces to hardware (experience)
- Experience debugging complex system level performance issues (experience)
- Experience writing automation software for data collection and analysis (experience)
- Understanding of OS scheduling and memory management (experience)
- Understanding of ML workloads and deployment for inference (experience)
- Understanding of SoC cache hierarchy and its performance implications (experience)
Responsibilities
- As a Neural Engine Performance Architect, you will be responsible for analyzing, debugging and optimizing the performance of the Neural Engine.
- Prototyping performant and flexible programming models for the Neural Engine.
- Proposing and driving HW features to improve flexibility and streamline SW for the Neural Engine.
- Defining and implementing performance studies to identify performance bottlenecks in the Neural Engine HW and SW.
- Developing and maintaining tools for performance profiling.
Tags & Categories
Answer 10 quick questions to check your fit for Neural Engine Performance Architect, Platform Architecture @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs