This role pays more than
90%
of similar roles. Most pay
$177,250–$241,750
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$210k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As a Senior Software Engineer, Apple Ads, you will join the Apple Ads Engineering team to build a high-performance advertising platform serving the App Store, Apple News, Stocks, and Apple TV. You will design, develop, and operate distributed services for real-time ad selection in a cloud environment while building low-latency, high-throughput systems and secure data processing pipelines for petabyte-scale datasets. The role involves applying algorithmic search, machine learning, natural language processing, and AI to solve complex candidate retrieval problems. You will utilize technologies including Go, Java, Rust, C++, or Scala, alongside tools like Lucene, Solr, Elasticsearch, Cassandra, Kafka, Spark, Flink, and AWS services such as S3, EC2, and EKS/Kubernetes. Your work ensures that the right ads are delivered to users while maintaining a strict commitment to privacy across all backend systems.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Architect and implement low-latency, high-availability ad-serving systems in a cloud environment.
Build performant micro-services and distributed data platforms to handle high volumes of traffic and data.
Engineer secure, scalable data processing pipelines for petabyte-scale datasets used in indexing and retrieval.
Apply machine learning, NLP, and algorithmic search techniques to improve candidate retrieval and ranking.
Write clean, well-documented code while participating in peer code reviews.
Debug and resolve complex issues across large-scale distributed systems.
Mentor other engineers and contribute to engineering best practices.
What we're looking for
Bachelor's degree in Computer Science or equivalent experience.
6+ years of industry experience architecting and developing internet-scale server software for Linux systems, including scalable micro-services or data-driven platforms.
Strong background in computer science fundamentals, including algorithms and data structures.
Strong coding skills in Go, Java, Rust, C++, Scala, or a similar OOP/Functional language.
Experience designing and operating scalable micro-services with NoSQL datastores like Cassandra and search technologies like Lucene, Solr, or Elasticsearch.
Proficiency with data processing technologies such as Kafka, Spark, or Flink for petabyte-scale datasets.
Experience with AWS services including Amazon S3, EC2, and EKS/Kubernetes.
Master's degree in Computer Science or a related field (preferred).
Experience creating groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence (preferred).
Experience building ad-serving, recommendation, or large-scale retrieval systems (preferred).
Familiarity with real-time bidding, candidate retrieval, ranking pipelines, and privacy-preserving system design (preferred).
Go
Java
Rust
C++
Scala
micro-services
Distributed Systems
Machine Learning
NLP
AI
Lucene
Solr
Elasticsearch
NoSQL
Cassandra
Kafka
Spark
Flink
AWS
S3
EC2
Kubernetes
Linux