Apple Silicon GPU Driver Engineer, Graphics, Game and ML
Apple - Cupertino, United States of America
Posted Mar 27, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Apple Silicon GPU Driver Engineer, Graphics, Game and ML Cupertino, United States of America 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. 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 performance and power efficiency of all 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 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. In this role, you'll architect the GPU driver scheduling layer underneath Apple's largest server-side ML and LLM workloads. You'll design parallelism strategies that scale from a single GPU to clusters of nodes, build the synchronization and communication primitives that hold them together, and shape
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