Job description

This is a dynamic opportunity to work in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing! We are looking for an engineer with deep expertise in system software technology who is eager to tackle new challenges and responsibilities as the role evolves. As the position progresses, there will be opportunities to demonstrate technical leadership, influence key design decisions, collaborate with and support other engineers, and help guide the direction of Apple's AI-driven capabilities across the ecosystem. Are you ready to help us deliver the next groundbreaking Apple products? BS and a minimum of 10 years relevant industry experience Experience defining interfaces that are used by other teams or external developers, with attention to lifecycle, error handling, and forward compatibility Deep proficiency in C and C++ in large, production system software Understanding of runtime systems: process/thread models, memory management, IPC/RPC, and resource lifecycle Understanding of software-hardware interfaces: registers, DMA, command queues, or similar accelerator interaction patterns Experience shipping production system software Experience building or extending ML runtimes, inference engines, or accelerator driver stacks (e.g., TensorRT, ONNX Runtime, XLA, Metal, Vulkan compute, or similar) Familiarity with Swift/Rust or another memory-safe systems language Familiarity with ML model compilation pipelines and how runtime APIs interact with compiler outputs (graph IR, compiled binaries) Experience with multi-client runtime scenarios: arbitrating hardware access, managing priority/QoS, and handling client lifecycle (ex: connect, disconnect, crash recovery) Knowledge of neural network inference: operator execution, tensor memory layout, pipelining, and batching strategies Strong communication skills and experience working across team boundaries (framework teams, compiler teams, hardware teams)

Requirements

Must-haves

BS and a minimum of 10 years relevant industry experience
Experience defining interfaces that are used by other teams or external developers, with attention to lifecycle, error handling, and forward compatibility
Deep proficiency in C and C++ in large, production system software
Understanding of runtime systems: process/thread models, memory management, IPC/RPC, and resource lifecycle
Understanding of software-hardware interfaces: registers, DMA, command queues, or similar accelerator interaction patterns
Experience shipping production system software
Experience building or extending ML runtimes, inference engines, or accelerator driver stacks (e.g., TensorRT, ONNX Runtime, XLA, Metal, Vulkan compute, or similar)
Familiarity with Swift/Rust or another memory-safe systems language
Familiarity with ML model compilation pipelines and how runtime APIs interact with compiler outputs (graph IR, compiled binaries)
Experience with multi-client runtime scenarios: arbitrating hardware access, managing priority/QoS, and handling client lifecycle (ex: connect, disconnect, crash recovery)
Knowledge of neural network inference: operator execution, tensor memory layout, pipelining, and batching strategies
Strong communication skills and experience working across team boundaries (framework teams, compiler teams, hardware teams)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlswiftrust

Platform: apple
Effort: medium