GPU ML Engineer
Apple
GPU ML Engineer
Job Description
Apple’s Compute Frameworks team in Graphics, Games and Machine Learning org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team. Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- GPU programmingintermediate
- linear algebraintermediate
- image processingintermediate
Required Qualifications
- Technical BS/MS degree and Equivalent experience. (experience)
- 2 plus years of experience (experience)
- GPU compute kernel framework development, maintenance, and optimization. (experience)
- Experience with system level programming and computer architecture. (experience)
- Experience with high performance parallel programming, GPU programming experience (experience)
Preferred Qualifications
- Excellent programming and problem-solving skills. (experience)
- Strong communication skills. (experience)
- Strong collaboration skills. (experience)
- Good understanding of machine learning fundamentals. (experience)
- Background in mathematics, including linear algebra and numerical methods is a plus. (experience)
Responsibilities
- Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.
- Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
- Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
- Defining and implementing APIs in Metal Performance Shaders.
- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
- Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon
- Tune GPU-accelerated compute across products.
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Answer 10 quick questions to check your fit for GPU ML Engineer @ Apple.
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GPU ML Engineer
Apple
GPU ML Engineer
Job Description
Apple’s Compute Frameworks team in Graphics, Games and Machine Learning org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team. Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- GPU programmingintermediate
- linear algebraintermediate
- image processingintermediate
Required Qualifications
- Technical BS/MS degree and Equivalent experience. (experience)
- 2 plus years of experience (experience)
- GPU compute kernel framework development, maintenance, and optimization. (experience)
- Experience with system level programming and computer architecture. (experience)
- Experience with high performance parallel programming, GPU programming experience (experience)
Preferred Qualifications
- Excellent programming and problem-solving skills. (experience)
- Strong communication skills. (experience)
- Strong collaboration skills. (experience)
- Good understanding of machine learning fundamentals. (experience)
- Background in mathematics, including linear algebra and numerical methods is a plus. (experience)
Responsibilities
- Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.
- Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
- Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
- Defining and implementing APIs in Metal Performance Shaders.
- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
- Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon
- Tune GPU-accelerated compute across products.
Tags & Categories
Answer 10 quick questions to check your fit for GPU ML Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs