> Markdown version of [/jobs/ext/4446394-distinguished-engineer-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/4446394-distinguished-engineer-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distinguished Engineer, AI Infrastructure - **Company:** Apple Inc. - **Location:** United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Cloud Computing, Cloud Engineering, Software Debugging, Distributed Computing Environment, Distributed Systems, Python (Programming Language), AI Infrastructure, Rust (Programming Language), Graphics Processing Unit (GPU), Pytorch, Deep Learning, Backend, Kubernetes, Information Technology, Machine Learning Operations, Golang - **Published:** October 8, 2026 - **Apply:** https://www.dice.com/job-detail/a80b636e-85e3-4d40-9ff6-468cc27c8bd1 ## About the Role Bachelor's degree in Computer Science, relevant technical field, or equivalent practical experience 15 years of experience designing and building very large-scale distributed systems Proficiency in at least 1 backend language (e.g., Python, C++, Go, Rust) Proficiency in cloud-native architectures and compute orchestration platforms (e.g., Kubernetes) Hands-on experience working with ML accelerators such as GPUs and TPUs Track record of mentoring senior engineers and setting long-term architectural vision across orgs Preferred Qualifications Master's degree or PhD in Computer Science or related technical fields Experience in running distributed training and/or inference workloads in production Expertise in ML systems performance profiling, debugging, and optimization Expertise in deep learning frameworks (e.g., PyTorch, JAX) and their underlying architectures ## Description We are seeking a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI infrastructure at Apple. In this role, you will shape the architecture and long-term technical strategy for large-scale training and inference systems, working at the intersection of AI research, systems, and cloud infrastructure. Your work will directly influence how frontier and production models are trained, deployed, and scaled across diverse accelerator platforms.