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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # OS Performance Engineer - **Company:** Apple Inc. - **Location:** Cupertino, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Apple Mac Systems, Automation of Tests, Unix, C++ (Programming Language), Profiling, Computer Programming, Data Transformation, Linux, File Systems, Memory Management, R (Programming Language), Python (Programming Language), Performance Tuning, Systems Development Life Cycle, SQL Databases, Large Language Models, Ios Frameworks, Information Technology, Coreos, Objective C++ - **Published:** September 20, 2026 - **Apply:** https://www.dice.com/job-detail/134b98f5-6786-4f5c-b82b-e1682915c180 ## About the Role Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related quantitative field, or equivalent professional experience Proficiency in programming languages for OS systems development, data analysis, and/or modeling (e.g., Python, R, SQL, C/C++ Objective-C, Swift) Working knowledge of modern AI/LLM systems, AI/LLM model architecture, and operating system fundamentals (e.g., memory management, scheduling, file systems, storage) Demonstrated ability to transform raw data into actionable insights through analysis, modeling, and visualization Excellent problem-solving and critical-thinking skills Strong written and verbal communication skills, with ability to explain technical concept to diverse audiences Proven ability to collaborate effectively across teams and build relationships with diverse stakeholders Preferred Qualifications M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or related quantitative field Experience shipping high-performance modern LLM-based AI features Experience with performance modeling, capacity planning, or computer architecture evaluation Knowledge of modern CPU and memory architectures, and hardware/software interactions Experience with performance analysis tools and methodologies (e.g.,profiling, tracing, instrumentation) Experience driving cross-functional projects and influencing decisions across diverse stakeholder groups Track record of connecting quantitative insights to strategic product or business decisions Prior experience in Unix, Linux, macOS, or iOS development or performance optimization ## Description Great performance is critical to Apple's product experience, but exceptional performance begins with the decisions we make today about the products of tomorrow. The Performance Modeling and Features team within CoreOS Performance serves as performance optimizers and strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to improve performance, as well as shape architecture decisions, hardware specifications, and product planning. The team is seeking an engineer to focus on AI feature performance and can operate at a unique intersection: using performance expertise, data science, and strategic planning to not just measure and optimize performance, but model it, predict it, and use those insights to shape decisions. If this excites you, we should talk!, In this role, you'll serve as a performance optimizer and advisor with a focus on AI feature usage on our platforms, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Your goal will be to ensure Apple ships smooth, snappy, and efficient AI features and the best possible customer experience for the system as a whole. You'll write code for feature optimizations and testing automation, as well as analysis pipelines and simulation tools that enable teams to make informed decisions based on quantitative insights. ## Related Videos - [Operating etcd for Managed Kubernetes](https://www.wearedevelopers.com/videos/1191-operating-etcd-for-managed-kubernetes) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps](https://www.wearedevelopers.com/videos/100225-edge-ai-on-ios-beyond-the-cloud-designing-the-next-generation-of-intelligent-on-device-apps) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Harnessing Apple Intelligence: Live Coding with Swift for iOS](https://www.wearedevelopers.com/videos/1515-harnessing-apple-intelligence-live-coding-with-swift-for-ios) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall)