Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Apple Logo

AIML - Sr Software Engineer, Machine Learning Platform Technologies

Apple

Salary not specified
Nov 9, 2025
Cupertino, CA, US
Apply Now

Apple is looking to design and scale the platforms that power its Siri, Search, and AI/ML ecosystems by building the next generation of cloud-native ML infrastructure.

Requirements

  • Strong programming experience in Golang and/or Rust; expertise in building controllers, operators, or automation systems.
  • Deep understanding of Kubernetes internals, controller-runtime, and Crossplane composition frameworks.
  • Experience with ArgoCD, Helm, and Infrastructure-as-Code (Terraform, Pulumi, or Crossplane).
  • Hands-on experience with GitOps, declarative configuration, and reconciliation-driven workflows.
  • Proven ability to design and operate infrastructure for ML training and inference, including performance tuning and GPU optimization.
  • Deep expertise in Kubernetes API machinery, custom resources (CRDs), and control plane development.
  • Experience with Model Context Protocol (MCP)-based systems or contextual orchestration servers.

Responsibilities

  • Architect and develop cloud-native, agentic infrastructure platforms supporting ML training, inference, and large-scale distributed systems.
  • Lead and mentor engineers building Crossplane-based control planes, Kubernetes operators, and ArgoCD-driven GitOps automation.
  • Design, build, and optimize Model Context Protocol (MCP) servers that manage and contextualize infrastructure and application state across environments.
  • Contribute to and upstream improvements in open-source CNCF projects, representing Apple in the cloud-native community.
  • Implement observability, governance, and automation frameworks to ensure performance, reliability, and compliance.
  • Collaborate with AI/ML and infrastructure teams to integrate agentic orchestration workflows for self-service provisioning, ML pipeline management, and dynamic scaling.
  • Drive best practices for GitOps, IaC, and Kubernetes cluster lifecycle automation at global scale.

Other

  • Experience leading technical teams, driving architecture decisions, and mentoring engineers.
  • Excellent communication, technical writing, and cross-functional leadership skills.
  • BS/MS in Computer Science or related field (or equivalent practical experience).
  • 9+ years in cloud infrastructure, SRE, or distributed systems roles.
  • Active contributor to CNCF open-source projects (e.g., Kubernetes, Crossplane, ArgoCD, Envoy, Prometheus).