Senior Audio Systems Architect

Imagine what you could do here. At Apple new insights have a way of becoming extraordinary products services and customer experiences very quickly. The Audio u0026 Media Technologies group is at the center of audio for all of Apples innovative products including AirPods HomePod Mac iPhone iPad Apple Watch Apple TV and Apple Vision Pro. Sound is an essential and compelling facet of the customer experience and we are looking for a Senior Audio Systems Architect to set the technical direction for how audio is captured processed routed and rendered across the entire Apple product line.

In this role you will own the end-to-end audio systems architecture spanning silicon firmware kernel drivers and the user-space frameworks that power every Apple product. Youll partner deeply with silicon EE acoustics ML and framework teams to make the architectural calls that define audio on Apple platforms several years out from clocking and DMA topology on next-generation SoCs through secure firmware partitioning all the way up to the APIs that third-party developers build on. This is a hands-on architect role: youll prototype write code lead deep-dive investigations into systemic issues and convert those findings into durable architectural are looking for someone who is a force multiplier an engineer who has materially adopted AI-assisted engineering into their daily practice and can show concrete examples of where coding agents LLM-driven analysis and tool-calling workflows have changed how they work. You will be expected not only to use these tools fluently yourself but to identify the highest-leverage workflows for the broader audio organization prototype them and drive their adoption across firmware driver and framework teams.n

Own the multi-year architectural roadmap for audio across iOS macOS watchOS visionOS and tvOS from on-die audio subsystems through user-facing architectural reviews of new silicon codecs and audio peripherals; influence next-generation hardware decisions before interfaces and partitioning between firmware secure/exclave domains kernel drivers and user-space audio deep-dive investigations into systemic audio issues latency glitching power thermals security and convert findings into durable architectural and drive adoption of AI-assisted engineering workflows across the audio organization: identify high-leverage opportunities build internal agents and tooling and roll the successful ones out senior and staff engineers across firmware driver and framework teams; uphold software quality through architectural and code with ML and acoustics teams on the architecture required to ship on-device audio intelligence features at Apple the audio organization in cross-functional architectural forums and contribute to platform-wide technical direction.

BS in Computer Science Electrical Engineering or equivalent industry experiencen10 years of relevant engineering experience with demonstrated ownership of cross-stack architecture spanning silicon firmware drivers and OS frameworksnExcellent programming skills in C and C with strong fundamentals in OOP real-time systems and low-level performancenStrong understanding of multi-core SoC architecture DMA interrupt handling power management and RTOS internalsnHands-on experience with audio fundamentals: sample rates clocking buffering latency I2S/TDM/SoundWire PCM/PDM codecs and DSP reviewing hardware schematics and partnering with EE and silicon design teams on register-level interfaces and pre-silicon track record of leading technical design from concept through mass production across multiple product lines written and verbal communication skills with the ability to align executives peer architects and individual contributors on a shared technical direction.

MS or PhD in Computer Science Electrical Engineering or related experience designing building and deploying AI-driven automated workflows and tools in a production engineering using LLMs and autonomous agents to solve complex engineering problems code generation log and trace analysis automated triage large-scale -on experience developing custom skills and tool-calling capabilities for AI agents to interact with APIs databases build systems and internal software with on-device ML inference paths and audio ML features (speech noise control spatial audio).nExperience with secure firmware environments exclaves or other trusted execution domains on embedded record of building tools automation or internal infrastructure that scaled the impact of teams beyond your direct to identify and develop solutions to broad systemic problems across complex hardware and software to thrive in a fast-paced ambiguous environment and make sound decisions with incomplete information.