Job description

As a member of the team, you'll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. We are looking for a senior software architect to be the directly responsible individual for the software architecture of our perception stack: the runtime, data flow, and system infrastructure that turn perception and ML algorithms into a fast, reliable, and secure product. You will set the technical direction for the stack and serve as the team's primary technical partner to hardware, software, and product teams across Apple. This role is a great fit for a systems engineer who has shipped latency-sensitive software at scale, understands perception and robotics well enough to be a true partner to algorithm engineers, and enjoys making the work of many teams fit together into one coherent system. 10+ years building production systems software in C/C++, Swift, with deep knowledge of concurrency, scheduling, memory management, and IPC on a modern operating system. A track record of shipping latency-sensitive or real-time systems to customers, with measurable performance and reliability targets. Experience designing dataflow or algorithm-graph runtimes across heterogeneous compute. Experience designing telemetry, tracing, and profiling into systems, and using that data to drive performance and stability work. Working knowledge of classical perception and robotics (e.g., sensor fusion, time synchronization, calibration, state estimation, tracking, or SLAM/VIO). Experience deploying ML models into production runtimes, including quantization, scheduling, and performance tradeoffs. Demonstrated technical leadership across team and organizational boundaries. Experience partnering with program managers to break work into milestones, deliver against them, and re-plan when requirements change. Clear written and verbal communication with both engineers and leadership. BS or MS in Computer Science, Electrical Engineering, or equivalent experience. Real-time Linux expertise (e.g., PREEMPT_RT, CPU isolation, cgroups, deterministic scheduling) or RTOS experience. Deep experience with Darwin/XNU internals, secure execution environments, or microkernel-based isolation. Experience shipping consumer hardware products at scale. Experience with robotics middleware and logging (e.g., ROS 2, DDS, MCAP) and record/replay or simulation infrastructure. Experience building evaluation pipelines, regression testing, or data feedback loops for ML-driven systems. Familiarity with modern learned perception, multimodal models, or agentic AI workflows.

Requirements

Must-haves

10+ years building production systems software in C/C++, Swift, with deep knowledge of concurrency, scheduling, memory management, and IPC on a modern operating system.
A track record of shipping latency-sensitive or real-time systems to customers, with measurable performance and reliability targets.
Experience designing dataflow or algorithm-graph runtimes across heterogeneous compute.
Experience designing telemetry, tracing, and profiling into systems, and using that data to drive performance and stability work.
Working knowledge of classical perception and robotics (e.g., sensor fusion, time synchronization, calibration, state estimation, tracking, or SLAM/VIO).
Experience deploying ML models into production runtimes, including quantization, scheduling, and performance tradeoffs.
Demonstrated technical leadership across team and organizational boundaries.
Experience partnering with program managers to break work into milestones, deliver against them, and re-plan when requirements change.
Clear written and verbal communication with both engineers and leadership.
BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
Real-time Linux expertise (e.g., PREEMPT_RT, CPU isolation, cgroups, deterministic scheduling) or RTOS experience.
Deep experience with Darwin/XNU internals, secure execution environments, or microkernel-based isolation.
Experience shipping consumer hardware products at scale.
Experience with robotics middleware and logging (e.g., ROS 2, DDS, MCAP) and record/replay or simulation infrastructure.
Experience building evaluation pipelines, regression testing, or data feedback loops for ML-driven systems.
Familiarity with modern learned perception, multimodal models, or agentic AI workflows.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlswiftai

Platform: apple
Effort: medium