Job 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. 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 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

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythongorustkubernetesml

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision