Embedded Software Infrastructure Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

0.0

Posted On

14 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, CI/CD, DevOps, Embedded Systems, C++, C, Kubernetes, Docker, Ansible, Jenkins, Linux, MacOS, RTOS, Git, Grafana, Prometheus

Industry

Computers and Electronics Manufacturing

Description

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 A minimum of a bachelor's degree in electrical engineering, computer engineering, or related field with 3 years of experience. 2-3 years of CI/CD or DevOps experience in a MacOS, Linux, or Unix environment Experience building CI/CD systems at scale for embedded or low-level software Expert Python programming skills Experience working with databases and metrics/visualization tools (Grafana, Prometheus) Experience working with containerized applications (Kubernetes, Docker) and configuration management systems (Ansible preferred) Strong debugging skills for software under development and system-level failures PREFERRED QUALIFICATIONS Strong embedded C/C++ programming skills Experience working with RTOS software (FreeRTOS, Zephyr, ThreadX, etc.) Experience with complex Jenkins systems, including Scripted Pipeline and Shared Library development Experience maintaining Git repositories and deploying/operating Gerrit Experience with build artifact management (storage, backups, and release generation) Experience working with log aggregation tools such as Splunk Deep understanding of cross-compilation toolchains (GCC, Clang) and build systems (Make, CMake) Experience with hardware-in-the-loop (HIL) systems and low-level interfaces (JTAG, UART) Exposure to silicon bringup and post-silicon validation tasks.

Responsibilities

You will design and operate CI/CD pipelines for embedded software and build scalable infrastructure for hardware validation and regression testing. Additionally, you will partner with developers to deploy toolchain updates and optimize compute resources for large-scale test fleets.