Sr Software Engineer, AI & Data Platforms (AiDP)

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$147,400–$272,100 / yr
Posted
56 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 59% of similar roles. Most pay $166,100–$235,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Sr Software Engineer, AI & Data Platforms (AiDP)

As a Senior Software Engineer on the AI & Data Platforms team at Apple, you will play a pivotal role in developing intelligent, scalable solutions for internal use by enhancing existing Java-based frameworks and tools. Your day-to-day responsibilities include designing, implementing, and maintaining code primarily in Java while integrating with various enterprise services such as LLMs to drive higher developer productivity. You will collaborate closely with data scientists and other software engineers to deliver end-to-end solutions, applying groundbreaking research in Generative AI to improve the SDLC for app development teams. This role requires a strong background in microservices architecture, large-scale distributed systems, and experience with Spring Framework/Spring Boot, as well as familiarity with cloud platforms like AWS or GCP, CI/CD pipelines, and container orchestration tools such as Kubernetes.

What you'll do

  • Design and implement highly available enterprise solutions using Java and other languages as needed.
  • Integrate generative AI capabilities into existing Java-based frameworks to enhance developer productivity.
  • Collaborate on the development of a developer experience platform for internal app development teams.
  • Maintain and improve micro-services architecture in support of large-scale distributed systems.
  • Apply cutting-edge research in AI and machine learning to enterprise services and workflows.

What we're looking for

  • 3+ years of experience developing and maintaining production services using Java and Spring Framework/Spring Boot.
  • 5+ years of experience in leading software design and architecture for large-scale distributed systems.
  • Proven expertise in integrating AI technologies like LLMs into enterprise applications.
  • Strong background in micro-services architecture and Generative AI implementation.
  • Experience with cloud platforms, CI/CD pipelines, and container orchestration tools (e.g., Kubernetes).
  • Solid understanding of data modeling and database systems including PostgreSQL, MongoDB, and NoSQL technologies.

More like this

Similar roles

Sr. Software Engineer, AI, Search & Knowledge Platforms

Apple Inc

Seattle, WA 38 days ago $171,600$258,100
Go Rust C++ Java Docker Kubernetes CI/CD Prometheus Grafana PostgreSQL Redis Elasticsearch AWS Azure Google Cloud Platform Git Jenkins DAG-based execution engines Task schedulers Feature flagging Dynamic config propagation

Sr. Software Engineer, AI, Search & Knowledge Platforms

Apple Inc

Santa Clara, CA 38 days ago $181,100$272,100
Go Rust C++ Java Docker Kubernetes AWS CI/CD Prometheus Grafana PostgreSQL Redis Elasticsearch GraphQL REST DAG-based execution engines Task schedulers Feature flagging Dynamic config propagation Search systems Information retrieval systems Agentic AI patterns

Sr. Software Engineer, AI, Search & Knowledge Platforms

Apple Inc

Santa Clara, CA 43 days ago $181,100$272,100
Go Rust C++ Java Docker Kubernetes CI/CD Prometheus Grafana PostgreSQL Redis Elasticsearch AWS Azure Google Cloud Platform Git Jenkins Terraform DAG-based execution engines Feature flagging Dynamic config propagation