This role pays more than
84%
of similar roles. Most pay
$144,350–$230,625
— the shaded band above.
At the midpoint, this role pays about
$242k
versus about
$187k
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 Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms, you will join the Core Infra team to build and operate large-scale backend infrastructure supporting information intelligence and search features. You will design and develop robust systems that process trillions of links to find optimal content for users while analyzing pages to extract critical features for indexing and ranking. Your daily work involves optimizing massive-scale data pipelines, monitoring performance metrics, and troubleshooting complex issues within an on-call rotation. The role requires expertise in distributed systems, backend services, cloud platforms like AWS or GCP, and container orchestration via Kubernetes. You must possess a strong grasp of networking protocols such as TCP/IP, DNS, and HTTP, alongside core software engineering fundamentals including data structures, algorithms, and system design to solve complex information retrieval problems.
Distributed Systems
Cloud Infrastructure
AWS
GCP
Kubernetes
Data Pipelines
TCP/IP
DNS
HTTP
System Design
Algorithms
Data Structures
Information Retrieval
Ranking Systems
Machine Learning
Machine Learning
Large Language Models
NLP
Python
Golang
Java
Scala
Spark
AWS
TensorRT-LLM
vLLM
Nvidia Triton Server
Distributed Systems
Model Serving
Knowledge Graph
Information Extraction
Large Language Models
NLP
Machine Learning
Python
Golang
Java
Scala
Spark
AWS
Distributed Systems
TensorRT-LLM
vLLM
Nvidia Triton Server
Model Serving
Algorithms
Data Structures
Machine Learning
Python
Go
Large Language Models (LLMs)
Natural Language Processing (NLP)
Information Retrieval
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Data Science
A/B Testing
Statistical Hypothesis Testing
Data Pipelines
Distributed Inference
Model Quantization
Search Ranking