[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Apple jobs](https://jobs.opennash.com/companies/apple/) · [Search jobs](/search/) Apple # ML Compute Efficiency Automation Engineer, Infrastructure & Planning Cupertino, United States of America IT & Infrastructure Listed on Apple’s official careers site. Posted June 17, 2026. Check that it is still open and apply there. [Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200669000/ml-compute-efficiency-automation-engineer-infrastructure-planning) [OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / ML Compute Efficiency Automation Engineer, Infrastructure & Planning ## Job description Apple’s Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple’s software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development for our Software and AIML organization. Foundation models are central to Apple's user experiences and maximizing the efficiency of our ML compute is paramount. Compute efficiency sits at the center of this role, ensuring that Apple’s models run as fast, reliably, and cost-effectively as possible. In this role you will tackle optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are looking for a particular kind of builder, an exceptional engineer who can think through hard problems and code their way past them, especially the ones involving scale and the slow manual work that quietly drains a high-leverage team. The ideal candidate treats every repeated process as a system waiting to be automated, every manual escalation as a system not yet built, and every prioritization request as a problem the right tooling can solve faster. The resulting data forms a foundation for the rapid, high-quality decisions that empower Apple's technical and business leaders. This is a founding role. The majority of your time goes to AI automation, building the systems that turn manual operations into tooling that runs and corrects itself. Your remaining time will go towards hands-on ML compute efficiency, working along side senior ML efficiency engineers directly on the optimization problems behind the numbers. You will share ownership of PACE's governance and operations with our tools team who is actively building solutions with AI. The work a traditional operations team would grind through by hand, things like resource requests, allocation tracking, escalations, and efficiency reporting, you will turn into systems that run themselves and watch themselves. When you have done it well, the busywork is gone and PACE moves faster than its size says it should. Your challenging work will result in high development velocity and efficient compute, accelerating not only Apple, but also your career as well. ## At a glance - Posted by the employer: Jun 17, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 18, 2026 - Listed for: 123 days - Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200669000/ml-compute-efficiency-automation-engineer-infrastructure-planning) ## More jobs at Apple ### [AIML - Sr Engineering Program Manager, Search Quality and Infrastructure](https://jobs.opennash.com/companies/apple/jobs/b94e855f6a4c15f31719/) Cupertino, United States of America ### [Distinguished Engineer, AI Infrastructure](https://jobs.opennash.com/companies/apple/jobs/92dfd2020ed0301d88d7/) Cupertino, United States of America ### [Distinguished Engineer, Infrastructure Engineering, Wallet, Payments & Commerce](https://jobs.opennash.com/companies/apple/jobs/87015df7fc27f87bee42/) Cupertino, United States of America ### [Engineering Program Manager, Cloud Infrastructure, Apple Services Engineering](https://jobs.opennash.com/companies/apple/jobs/4a6911622791a0a15913/) Cupertino, United States of America ### [Executive Assistant, Cloud Infrastructure — Apple Services](https://jobs.opennash.com/companies/apple/jobs/df6a0a091128fa0ae4f0/) Cupertino, United States of America ## Similar jobs at other companies ### [Senior Hardware Engineer - Core Compute](https://jobs.opennash.com/companies/general-dynamics/jobs/a86304ddc44952fa03e3/) General Dynamics · Sterling Heights, MI, US ### [Compute Hardware Applications Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/e0dca1fc71df4c348f13/) Qualcomm · San Diego, California, United States of America ### [Ambient Compute System Architecture and Power Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/f06c75daa4fb24ec5230/) Qualcomm · San Diego, California, United States of America ### [Senior Software Engineer - Azure Compute Next Gen Platform](https://jobs.opennash.com/companies/microsoft/jobs/f0d3b2f8d0a9fe32f837/) Microsoft · United States, Multiple Locations ### [Principal Software Engineer- Compute Graph Compiler (CGC) Team](https://jobs.opennash.com/companies/microsoft/jobs/2f34cd6e37e29ea1d1eb/) Microsoft · United States, Washington, Redmond, Multiple Locations [IT & Infrastructure jobs](/functions/it-infrastructure/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)