Senior Software Engineer, Middleware - Special Projects

Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple’s ecosystem. The work is hands-on, highly cross-disciplinary, and central to shaping how Apple’s intelligent systems evolve. Minimum Qualifications Proficiency in Swift, C++, or Objective-C; comfortable reading and writing low-level code when needed Deep experience developing for Apple platforms, with a strong understanding of their runtime systems, performance models, and interprocess communication Proven ability to design and deliver cross-layer solutions that bridge hardware, system software, and higher-level frameworks Demonstrated ability to influence system-wide architectural decisions and drive design alignment across cross-functional teams — from embedded and hardware engineers to UI and cloud teams Commitment to measuring and optimizing performance; skilled at using profiling and instrumentation tools Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, and 5+ years of relevant experience Preferred Qualifications Attention to detail, creativity and passion Ability to deconstruct large features and implement practical solutions with good intuition in making time vs. complexity tradeoffs Strong understanding of API and framework design for maintainability and usability Strong grasp of Apple development tools Experience with real-time or near-real-time systems, robotics, or automation frameworks. Familiarity with hardware bring-up, device communication protocols, or sensor integration. Background in distributed systems or data orchestration, especially in AI or edge compute contexts. Passion for building tools that make complex systems understandable and debuggable.