Software Engineer

Apple Apple · Big Tech · Sunnyvale, CA · Software and Services

Senior Software Engineer role at Apple focusing on defining, implementing, and deploying intelligent systems. Requires strong software engineering and machine learning expertise, experience with large-scale distributed systems, cloud platforms, and containerization. The role involves guiding complex projects from concept to adoption and architecting/deploying intelligent systems.

What you'd actually do

  1. defining and implementing the architecture, roadmap, and deployment of our intelligent systems
  2. guide complex projects from concept to adoption
  3. architecting and deploying intelligent systems, from strategy to execution

Skills

Required

  • Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, or related field
  • 8+ years of software development experience with a focus on software engineering and machine learning
  • Expertise in developing large-scale, distributed computing systems
  • Proficiency in designing, implementing, and supporting scalable systems
  • Proven track record in architecting and deploying intelligent systems, from strategy to execution
  • Strong proficiency in languages like Python, Java, or similar
  • solid understanding of frontend frameworks
  • Skilled with cloud platforms (AWS, GCP)
  • containerization tools (Docker, Kubernetes)
  • Ability to translate technical concepts into clear, business-focused insights and communicate effectively with stakeholders

Nice to have

  • Master’s degree in Computer Science, Software Engineering, Machine Learning, or related field
  • Passion for solving complex problems and uncovering hidden insights through data

What the JD emphasized

  • 8+ years of software development experience with a focus on software engineering and machine learning
  • Proven track record in architecting and deploying intelligent systems, from strategy to execution

Other signals

  • defining and implementing the architecture, roadmap, and deployment of our intelligent systems
  • strong engineering and machine learning expertise
  • guide complex projects from concept to adoption
  • architecting and deploying intelligent systems, from strategy to execution