GPU Engineer, Platform Architecture
Apple
GPU Engineer, Platform Architecture
Job Description
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it! The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
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 analysisintermediate
- development at the level of ML frameworksintermediate
- lower-level kernel implementationsintermediate
Required Qualifications
- BS degree (degree)
- Experience with software and hardware performance analysis and optimization (experience)
- Experience in GPU programming models such as Metal, CUDA, or similar (experience)
- Experience with ML frameworks, for example MLX, Pytorch, or similar (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or equivalent (degree in phd in computer science)
- 3+ years of relevant industry experience (experience, 3 years)
- Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms (experience)
- Experience optimizing LLM inference for low latency at the implementation level (experience)
- Experience optimizing LLM inference at scale in the cloud or datacenter (experience)
- Ability to communicate across both hardware and software organizations (experience)
Responsibilities
- The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
- Analyze the performance of linear algebra and machine learning algorithms on Apple GPU platforms, pursuing investigations wherever they take you in Apple software.
- With our partner teams in Software Engineering and Hardware Technologies, formulate system-level strategies to address performance problems and unlock the next level of AI performance for our users.
- Work closely with MLX, MPS and CoreML teams on real ML use-cases in an end-to-end co-design effort, from early design exploration up to product launch.
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Answer 10 quick questions to check your fit for GPU Engineer, Platform Architecture @ Apple.
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~2 Minutes
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GPU Engineer, Platform Architecture
Apple
GPU Engineer, Platform Architecture
Job Description
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it! The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
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 analysisintermediate
- development at the level of ML frameworksintermediate
- lower-level kernel implementationsintermediate
Required Qualifications
- BS degree (degree)
- Experience with software and hardware performance analysis and optimization (experience)
- Experience in GPU programming models such as Metal, CUDA, or similar (experience)
- Experience with ML frameworks, for example MLX, Pytorch, or similar (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or equivalent (degree in phd in computer science)
- 3+ years of relevant industry experience (experience, 3 years)
- Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms (experience)
- Experience optimizing LLM inference for low latency at the implementation level (experience)
- Experience optimizing LLM inference at scale in the cloud or datacenter (experience)
- Ability to communicate across both hardware and software organizations (experience)
Responsibilities
- The Platform Architecture GPU group is looking for a talented GPU Engineer to join the Neural Accelerator effort with strong skills in performance analysis and development at the level of ML frameworks and lower-level kernel implementations.
- Analyze the performance of linear algebra and machine learning algorithms on Apple GPU platforms, pursuing investigations wherever they take you in Apple software.
- With our partner teams in Software Engineering and Hardware Technologies, formulate system-level strategies to address performance problems and unlock the next level of AI performance for our users.
- Work closely with MLX, MPS and CoreML teams on real ML use-cases in an end-to-end co-design effort, from early design exploration up to product launch.
Tags & Categories
Answer 10 quick questions to check your fit for GPU Engineer, Platform Architecture @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs