Apple Silicon GPU Driver Engineer
Apple
Apple Silicon GPU Driver Engineer
Job Description
Apple products using Apple Silicon GPU. We are looking for an engineer with a strong engineering background who is excited to work with engineers and other leaders at Apple Apple's GGML team provides developers access to harness the power of the GPU across all of Apple's innovative products, from iPhone, iPad, Apple TV, Apple Watch to the Mac product line. Our team’s responsibilities encompass the frameworks, developer tools, and hardware drivers for the GPU and Display devices on all of Apple’s hardware. Metal provides near-direct access to the graphics processing unit (GPU), enabling you to enhance the graphics and compute potential of apps on iOS, macOS and tvOS. Building on an efficient low-overhead software architecture with precompiled shaders, fine-grained resource control and multithreading support, Metal further boosts performance by enabling the GPU to take more control of the rendering pipeline. Moving beyond just graphics, Metal provides deep support for GPU-accelerated machine learning and offers enhanced developer tools that make it even easier to debug, optimize, and deploy Metal apps. Join the team that helped make the Apple M1 processor, with its groundbreaking graphics performance, efficiency and feature set. The Apple Silicon GPU Scheduler Driver Team within GGML (Graphics, Game and ML Software) Software is directly responsible for the development of the GPU workload management including scheduling of commands on the GPU, manage resources and dependencies, responsiveness and quality of service for applications using the GPU. The GPU Scheduler team directly impacts the performance and power efficiency of all to deliver Apple GPUs across all Apple devices, build and ship exciting new GPU focused features, work with other teams to prototype future HW and SW GPU features. The Apple Silicon GPU Driver Scheduler Team is looking for a software engineer to define and implement policies and algorithms to efficiently schedule graphics and compute workloads on Apple Silicon GPUs. We are seeking an individual with curiosity and passion to learn and innovate. As a key member of our team, you will work on low-latency, high-throughput and QoS-aware scheduling techniques to ensure UI responsiveness, great performance and power efficiency across our product line. You will be helping design and implement solutions that help the workloads scale across entire product family from Apple Watch to Mac Studios. You will partner with world-class teams across Apple software and hardware organizations to develop and integrate key technologies to improve the graphic and compute potential for Apple products across a wide variety of applications from games to machine learning and image processing.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- strong engineering backgroundintermediate
- work with engineers and other leadersintermediate
- harness the power of the GPUintermediate
- frameworksintermediate
- developer toolsintermediate
- hardware driversintermediate
- Metalintermediate
- graphics processing unit (GPU)intermediate
- graphics and compute potentialintermediate
- efficient low-overhead software architectureintermediate
- precompiled shadersintermediate
- fine-grained resource controlintermediate
- multithreading supportintermediate
- GPU-accelerated machine learningintermediate
- debug, optimize, and deploy Metal appsintermediate
- GPU workload managementintermediate
- scheduling of commands on the GPUintermediate
- manage resources and dependenciesintermediate
- responsiveness and quality of serviceintermediate
- performance and power efficiencyintermediate
- build and ship GPU focused featuresintermediate
- prototype future HW and SW GPU featuresintermediate
- define and implement policies and algorithmsintermediate
- schedule graphics and compute workloadsintermediate
- low-latency scheduling techniquesintermediate
- high-throughput scheduling techniquesintermediate
- QoS-aware scheduling techniquesintermediate
- UI responsivenessintermediate
- design and implement solutionsintermediate
- workloads scale across product familyintermediate
- partner with software and hardware organizationsintermediate
- develop and integrate key technologiesintermediate
- improve graphic and compute potentialintermediate
- machine learningintermediate
- image processingintermediate
- curiosity and passion to learn and innovateintermediate
Required Qualifications
- Technical BS/MS degree or equivalent experience (experience)
- Excellent software design, problem solving, debugging, and performance analysis ability (experience)
- Adaptive approach to problem solving (experience)
- Strong communication and cross-functional collaboration skills (experience)
- Knowledge of computer architecture (experience)
- Good programming skills with knowledge of C or C++ (experience)
- Operating systems and/or scheduling policies knowledge (experience)
- Excellent written and oral communication skills (experience)
Preferred Qualifications
- GPU specific software development (User/Kernel mode drivers, Compiler technologies) (experience)
- Embedded driver development (experience)
Responsibilities
- The Apple Silicon GPU Driver Scheduler Team is looking for a software engineer to define and implement policies and algorithms to efficiently schedule graphics and compute workloads on Apple Silicon GPUs.
- We are seeking an individual with curiosity and passion to learn and innovate.
- As a key member of our team, you will work on low-latency, high-throughput and QoS-aware scheduling techniques to ensure UI responsiveness, great performance and power efficiency across our product line. You will be helping design and implement solutions that help the workloads scale across entire product family from Apple Watch to Mac Studios.
- You will partner with world-class teams across Apple software and hardware organizations to develop and integrate key technologies to improve the graphic and compute potential for Apple products across a wide variety of applications from games to machine learning and image processing.
- Driver development and support for existing graphics APIs and new GPU features on the new GPU architectures
- Contribute to bring-up of new chips/products using our new GPUs
- Implementation and debugging of graphics and compute applications
- Design and development of performance analysis and debug tools
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Answer 10 quick questions to check your fit for Apple Silicon GPU Driver Engineer @ Apple.
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~2 Minutes
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Apple Silicon GPU Driver Engineer
Apple
Apple Silicon GPU Driver Engineer
Job Description
Apple products using Apple Silicon GPU. We are looking for an engineer with a strong engineering background who is excited to work with engineers and other leaders at Apple Apple's GGML team provides developers access to harness the power of the GPU across all of Apple's innovative products, from iPhone, iPad, Apple TV, Apple Watch to the Mac product line. Our team’s responsibilities encompass the frameworks, developer tools, and hardware drivers for the GPU and Display devices on all of Apple’s hardware. Metal provides near-direct access to the graphics processing unit (GPU), enabling you to enhance the graphics and compute potential of apps on iOS, macOS and tvOS. Building on an efficient low-overhead software architecture with precompiled shaders, fine-grained resource control and multithreading support, Metal further boosts performance by enabling the GPU to take more control of the rendering pipeline. Moving beyond just graphics, Metal provides deep support for GPU-accelerated machine learning and offers enhanced developer tools that make it even easier to debug, optimize, and deploy Metal apps. Join the team that helped make the Apple M1 processor, with its groundbreaking graphics performance, efficiency and feature set. The Apple Silicon GPU Scheduler Driver Team within GGML (Graphics, Game and ML Software) Software is directly responsible for the development of the GPU workload management including scheduling of commands on the GPU, manage resources and dependencies, responsiveness and quality of service for applications using the GPU. The GPU Scheduler team directly impacts the performance and power efficiency of all to deliver Apple GPUs across all Apple devices, build and ship exciting new GPU focused features, work with other teams to prototype future HW and SW GPU features. The Apple Silicon GPU Driver Scheduler Team is looking for a software engineer to define and implement policies and algorithms to efficiently schedule graphics and compute workloads on Apple Silicon GPUs. We are seeking an individual with curiosity and passion to learn and innovate. As a key member of our team, you will work on low-latency, high-throughput and QoS-aware scheduling techniques to ensure UI responsiveness, great performance and power efficiency across our product line. You will be helping design and implement solutions that help the workloads scale across entire product family from Apple Watch to Mac Studios. You will partner with world-class teams across Apple software and hardware organizations to develop and integrate key technologies to improve the graphic and compute potential for Apple products across a wide variety of applications from games to machine learning and image processing.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- strong engineering backgroundintermediate
- work with engineers and other leadersintermediate
- harness the power of the GPUintermediate
- frameworksintermediate
- developer toolsintermediate
- hardware driversintermediate
- Metalintermediate
- graphics processing unit (GPU)intermediate
- graphics and compute potentialintermediate
- efficient low-overhead software architectureintermediate
- precompiled shadersintermediate
- fine-grained resource controlintermediate
- multithreading supportintermediate
- GPU-accelerated machine learningintermediate
- debug, optimize, and deploy Metal appsintermediate
- GPU workload managementintermediate
- scheduling of commands on the GPUintermediate
- manage resources and dependenciesintermediate
- responsiveness and quality of serviceintermediate
- performance and power efficiencyintermediate
- build and ship GPU focused featuresintermediate
- prototype future HW and SW GPU featuresintermediate
- define and implement policies and algorithmsintermediate
- schedule graphics and compute workloadsintermediate
- low-latency scheduling techniquesintermediate
- high-throughput scheduling techniquesintermediate
- QoS-aware scheduling techniquesintermediate
- UI responsivenessintermediate
- design and implement solutionsintermediate
- workloads scale across product familyintermediate
- partner with software and hardware organizationsintermediate
- develop and integrate key technologiesintermediate
- improve graphic and compute potentialintermediate
- machine learningintermediate
- image processingintermediate
- curiosity and passion to learn and innovateintermediate
Required Qualifications
- Technical BS/MS degree or equivalent experience (experience)
- Excellent software design, problem solving, debugging, and performance analysis ability (experience)
- Adaptive approach to problem solving (experience)
- Strong communication and cross-functional collaboration skills (experience)
- Knowledge of computer architecture (experience)
- Good programming skills with knowledge of C or C++ (experience)
- Operating systems and/or scheduling policies knowledge (experience)
- Excellent written and oral communication skills (experience)
Preferred Qualifications
- GPU specific software development (User/Kernel mode drivers, Compiler technologies) (experience)
- Embedded driver development (experience)
Responsibilities
- The Apple Silicon GPU Driver Scheduler Team is looking for a software engineer to define and implement policies and algorithms to efficiently schedule graphics and compute workloads on Apple Silicon GPUs.
- We are seeking an individual with curiosity and passion to learn and innovate.
- As a key member of our team, you will work on low-latency, high-throughput and QoS-aware scheduling techniques to ensure UI responsiveness, great performance and power efficiency across our product line. You will be helping design and implement solutions that help the workloads scale across entire product family from Apple Watch to Mac Studios.
- You will partner with world-class teams across Apple software and hardware organizations to develop and integrate key technologies to improve the graphic and compute potential for Apple products across a wide variety of applications from games to machine learning and image processing.
- Driver development and support for existing graphics APIs and new GPU features on the new GPU architectures
- Contribute to bring-up of new chips/products using our new GPUs
- Implementation and debugging of graphics and compute applications
- Design and development of performance analysis and debug tools
Tags & Categories
Answer 10 quick questions to check your fit for Apple Silicon GPU Driver Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs