Do you love crafting sophisticated solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices. As an Embedded Software Infrastructure Engineer, you will build the systems that power development, validation, and release of firmware and RTOS-based software running on custom silicon. You will design scalable infrastructure for cross-compilation, hardware validation, and large-scale regression systems, enabling engineers to rapidly iterate while maintaining deterministic, high-quality releases. This role sits at the intersection of embedded systems, build engineering, and distributed infrastructure, and it is critical to delivering reliable software for next-generation SoCs.

Description

Design and operate CI/CD pipelines tailored for embedded software, from build to automated regression on real silicon. - Create systems for log aggregation, failure triage, and root cause anlysis across large test fleets. - Generate detailed reports and dashboard views to track automation status, test coverage, failure trends, and release health. - Partner with embedded developers to deploy toolchain updates, integrate development collateral, and support debug tools. - Scale infrastructure to support thousands of daily builds and tests across multiple target devices and products. - Build, maintain, and optimize compute/storage resources, both on-prem and cloud-based. - Participate in discussions across multiple teams to help decide and align on best practices.

Minimum Qualifications

Bachelor's degree or equivalent experience in computer science, electrical engineering, or a related field with 0 years of experience. Strong command of the Python language and script development Strong debugging skills for software under development and system-level failures Experience working with build and test automation

Preferred Qualifications

Experience working with CI/CD systems such as Jenkins Experience working with databases and metrics/visualization tools such as Grafana or Prometheus Experience working with containerized applications (Kubernetes, Docker) and configuration management systems (Ansible preferred) Experience working with log aggregation, analysis, and introspection tools such as Splunk Experience with build artifact management (storage, backups, and release generation) Experience with hardware-in-the-loop (HIL) systems and low-level interfaces (JTAG, UART) Experience or strong interest in leveraging Generative AI for developer workflow automation (templating, documentation, triage, etc.). Strong C/C++ embedded programmer

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