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Apple Silicon GPU Driver Engineer, Graphics, Game and ML
Apple
π
Cupertino, United States
Location
Cupertino
Posted
June 03, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**Weekly Hours:** 40
**Role Number:** 200620920-0836
**Summary**
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. Apple Silicon GPU Driver Scheduler team within Graphics, Games and ML group is seeking a senior/principal engineer to lead design of GPU scheduling mechanisms that drive peak utilization and orchestrate distributed inference across multi-node clusters for server-side ML acceleration - the compute infrastructure foundation that will deliver Apple Intelligence on Private Cloud Compute at unprecedented scale.
**Description**
The Apple Silicon GPU Driver Scheduler team is directly responsible for 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 perf...
**Role Number:** 200620920-0836
**Summary**
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. Apple Silicon GPU Driver Scheduler team within Graphics, Games and ML group is seeking a senior/principal engineer to lead design of GPU scheduling mechanisms that drive peak utilization and orchestrate distributed inference across multi-node clusters for server-side ML acceleration - the compute infrastructure foundation that will deliver Apple Intelligence on Private Cloud Compute at unprecedented scale.
**Description**
The Apple Silicon GPU Driver Scheduler team is directly responsible for 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 perf...