Apple Ads helps developers and businesses reach customers on the App Store
through highly relevant, privacy-focused advertising. Our engineering teams
build the infrastructure that powers ad delivery at Apple scale — from search
and retrieval to auction, ranking, and measurement.

DESCRIPTION

We are looking for a Software Engineer to join the team responsible for Apple
Ads' core search and indexing platform — the system that retrieves the most
relevant ad candidates in response to real-time search queries across our ad
placements. This platform operates at massive scale, handling tens of thousands
of requests per second with strict latency requirements, and indexes millions of
advertiser campaigns with complex targeting signals. We are investing heavily in
evolving this platform: transitioning from batch-based architectures to
streaming-first, near-real-time indexing, building modular retrieval
infrastructure that scales efficiently across multiple ad placements, and
introducing on-device ML scoring at retrieval time. You will have the




prospect to work across the full search stack — from index construction
pipelines and data ingestion, to query execution, candidate ranking, and
production reliability.

MINIMUM QUALIFICATIONS

5+ years of software engineering experience with a focus on backend or
distributed systems Strong programming skills in one or more of: Rust, C++,
Java, or Scala Deep understanding of search and information retrieval
fundamentals — inverted indexes, posting lists, forward/reverse index
construction, tokenization, query parsing, and sharding Hands-on experience
building and operating high-throughput, low-latency distributed services with
tight SLA requirements Experience with streaming data infrastructure such as
Apache Kafka, Amazon Kinesis, or equivalent systems Familiarity with container
orchestration (e.g., Kubernetes) and operating services in large-scale cloud
environments

PREFERRED QUALIFICATIONS

Experience with embedding-based retr

📌 Software Engineer — Search (Hyderabad)
🏢 Apple
📍 Hyderabad