This role pays less than
89%
of similar roles. Most pay
$155,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$139k
versus about
$201k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
Sr. Engineer, AI Platforms and Solutions joins the Enterprise AI Platform and Solutions team to design, develop, and deliver next-generation AI-powered applications and reusable platform capabilities. The role involves building and optimizing Retrieval-Augmented Generation solutions, including document ingestion, vector search, and evaluation frameworks. You will integrate LLM-powered capabilities into enterprise applications to improve knowledge discovery and automate business workflows while architecting scalable cloud-native solutions on Kubernetes and public cloud platforms. Key responsibilities include developing backend services, APIs, and CI/CD pipelines while ensuring system performance across inference and data-processing layers. Required skills include proficiency in Python, Java, C# .NET, Rust, JavaScript, TypeScript, React.js, Angular, HTML, and CSS. The role focuses on solving complex problems in enterprise search, knowledge management, and agentic workflows using modern technologies like vector databases and semantic search.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.
LLM
Python
C#.NET
JavaScript
TypeScript
React.js
Angular
Node.js
HTML
CSS
C
C++
API Design
Vector Search
Elasticsearch
Docker
Kubernetes
Multi-agent Systems
Machine Learning
Natural Language Processing
Generative AI
Large Language Models
Python
RAG
Batch and Stream Processing
Model Distillation
Agile
SAFe
Cloud Platforms
Python
C++
Go
Rust
Kubernetes
Ray
Slurm
vLLM
SGLang
Triton
PyTorch
JAX
ROCm
HIP
CUDA
MLflow
Weights & Biases
CI/CD
Distributed Systems
GPU Infrastructure