Software Development Engineer - Platform Productization, Core OS
Apple
Software Engineering
San Diego, CA, USA
USD 139,500-258,100 / year + Equity
Posted on May 19, 2026
Do you have a strong interest in low level firmware and operating systems? A desire to work on complex software features, delivering quality Apple's products? The Core OS Platform organization is looking for a talented and passionate software engineer to join the Platform Productization team. As a critical member of the team, you will be focusing on software technologies in low-level firmware and Apple silicon domains. Your responsibilities will span across all phases of software delivery of Apple's products, from early design to product launch and beyond. You'll become intimately familiar with one or more major technologies, taking on responsibilities of Platform Development for efficient and ever evolving integration.
We are seeking a skilled and innovative engineer to design and enhance automation platforms that streamline the productization of hardware specifications into software builds. In this role, you will build and manage systems that ensure seamless integration, enabling faster and more reliable delivery of production-ready software. By leveraging your expertise in automation and process optimization, you will play a key role in transforming complex workflows into efficient, scalable, and repeatable systems, driving the successful delivery of high-quality products.
- Architect and deliver scalable software solutions for complex engineering workflows with cross-functional dependencies, ensuring alignment across teams and systems.
- Lead and mentor a team of engineers to plan, prioritize, and execute multiple concurrent engineering projects with clarity and accountability.
- Drive root-cause analysis and resolution of critical issues in collaboration with cross-functional teams spanning diverse engineering disciplines.
- Establish automated testing, continuous integration, and deployment pipelines leveraging existing internal infrastructure to accelerate and harden the release process.
- Implement comprehensive monitoring, alerting, and dashboard solutions to ensure operational visibility and proactive incident response across software systems.
- Integrate ML and LLM/AI capabilities into the software development lifecycle to improve developer productivity, code quality, and delivery velocity.
- Bachelor's degree in Computer Science or a related technical field, or equivalent industry experience
- Proficiency in at least one general-purpose programming language (C++, Java, Scala, Python, Swift, JavaScript, or Go).
- Hands-on experience working in Linux environments.
- Strong foundation in data structures, algorithms, and software performance optimization.
- Deep understanding of operating systems, concurrency, and distributed systems
- Strong analytical, problem-solving, and communication skills with the ability to articulate technical ideas and strategies clearly.
- Strong understanding of full-stack architecture, including RESTful API design, frontend development, and backend services
- Proficiency in data structures, algorithms, software design principles, caching strategies, and asynchronous programming patterns.
- Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and container orchestration using Docker and Kubernetes.
- Experience with CI/CD pipelines and tooling such as Jenkins, TeamCity or GitLab.
- Familiarity with distributed processing frameworks such as Apache Spark, Hadoop, or Kafka.
- Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB, Azure Cosmos DB).
- Working knowledge of observability and log analytics tooling such as Splunk or the Elastic Stack.
- Strong emphasis on system performance, stability, and production observability.
- Experience integrating LLM APIs (e.g., OpenAI, Claude, Gemini) into production applications.
- Familiarity with Agile software development methodologies.
- Demonstrated ability to diagnose and resolve issues in large-scale distributed systems and automate operational workflows.
- Strong analytical capabilities, attention to detail, and ability to thrive in a dynamic, highly collaborative team environment.