Embedded Software Infrastructure Engineer

Cupertino, CA, US • Posted 4 days ago • Updated 1 day ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Integrated Circuit
  • System On A Chip
  • Firmware
  • RTOS
  • Embedded Software
  • Regression Analysis
  • ROOT
  • Dashboard
  • Cloud Computing
  • Computer Science
  • Electrical Engineering
  • Continuous Integration
  • Continuous Delivery
  • Python
  • Database
  • Visualization
  • Grafana
  • Kubernetes
  • Docker
  • Configuration Management
  • Ansible
  • Debugging
  • Splunk
  • Jenkins
  • Management
  • Storage
  • Backup Administration
  • Git
  • Gerrit
  • C
  • C++
  • Embedded Systems
  • GNU Compiler Collection
  • CMake
  • Computer Hardware
  • Interfaces
  • JTAG
  • UART
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Documentation

Summary

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.\\n\\nAs 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.

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

A minimum of a bachelor's degree in computer Science, electrical engineering, or related field with 3 years of experience.\nExperience building CI/CD systems at scale for embedded or low-level software\nStrong command of the Python language and script development\nExperience working with databases and metrics/visualization tools (Grafana, Prometheus)\nExperience working with containerized applications (Kubernetes, Docker) and configuration management systems (Ansible preferred)\nStrong debugging skills for software under development and system-level failures

Experience working with log aggregation, analysis, and introspection tools such as Splunk\nExperience with complex Jenkins deployments, including Scripted Pipelines and Shared Library development\nExperience with build artifact management (storage, backups, and release generation)\nExperience maintaining Git source code repositories with Gerrit\nExperience with C/C++ embedded development\nGood understanding of cross-compilation toolchains (GCC, Clang) and build systems (Make, CMake)\nExperience with hardware-in-the-loop (HIL) systems and low-level interfaces (JTAG, UART)\nExposure to silicon bringup and post-silicon validation tasks and workflows\nExperience or strong interest in leveraging Generative AI for developer workflow automation (templating, documentation, triage, etc.)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: fe7f05339b70b19c17083c64092fb199
  • Posted 4 days ago
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