### Summary

Join Apple’s Wireless Technologies and Ecosystems team and help shape the future of cellular experiences powering millions of devices worldwide. In this role, you will design, develop, and enhance embedded software that drives our cutting‑edge wireless features at the intersection of embedded systems and artificial intelligence, collaborating closely with hardware and software teams to ensure high performance and reliability. You will contribute to projects that improve system efficiency, enable new capabilities, and support the next generation of Apple products. This is a unique opportunity to apply your engineering skills in a fast‑moving environment where your work directly impacts the performance and innovation of our fantastic cellular Apple products, while learning from and contributing to a world‑class team dedicated to excellence and creativity.

### Description

As an Embedded Software Engineer you will apply Generative AI to enhance next-generation embedded software and systems. Collaborate with hardware and software teams to design, optimise, and develop solutions for inter-processor communication between application processors and modem basebands. Utilise modern Generative AI frameworks to enhance high-performance real-time embedded software development, unlocking new possibilities in wireless devices. This role blends technical expertise in Generative AI, embedded software and real‑time systems with creativity and a passion for innovation. Contribute to cutting-edge cellular technologies, and leave a mark on the evolution of wireless embedded systems. If pioneering, precision engineering and AI-driven problem-solving excite you, this is where your impact begins.

### Responsibilities

- Architect and develop Generative AI methods to enhance cellular SW components, with emphasis on interprocessor communication protocols, drivers, and hardware abstraction layers.
- Identify, design and implement innovative AI/ML based solutions and features to transform and optimise embedded software development cycle.
- Utilise real-world datasets from consumer devices to explore ML models, balancing system KPIs and complexity.
- Lead design, development, documentation, and maintenance throughout the software life cycle.
- Collaborate with global teams to optimise solutions and define interfaces across components and subsystems.
- Innovate and implement new features to enhance product performance and user experience.

### Minimum Qualifications

- Proven industry experience in researching, developing, and applying AI/ML solutions, including Generative AI, orchestrated workflows, and tools in production environments
- Proficiency and experience in embedded systems design and concurrent, real-time embedded software development using C/C++.
- Bachelor's/Master's/PhD in Computer Science, Embedded Systems, Electrical/Electronic Engineering, or equivalent majors. Alternatively, proven equivalent industrial experience in above or related fields.

### Preferred Qualifications

- Strong proficiency in Python for AI/ML based applications.
- Prior experience of working in fast-paced, agile environment, with flexibility to pivot easily to support new user requirements.
- Solid understanding of SoC architecture with particular emphasis on the HW/SW interfaces of high-speed communication subsystems.
- Experience and understanding of data communication protocols over high speed interfaces like PCIe.
- Strong problem solving and debugging skills.
- Ability to communicate effectively, both written and verbal, with cross-functional teams.
- Experience with emulation systems, and virtual platforms.
- Proficiency in CPU architectures e.g. different ARM models, RISC, etc.
- Strong English language skills (verbal and writing).