This role pays less than
72%
of similar roles. Most pay
$195,600–$254,750
— the shaded band above.
At the midpoint, this role pays about
$198k
versus about
$225k
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.
Staff Machine Learning Engineer – Automotive Cybersecurity joins the Machine Learning Engineering team to drive AI/ML-based automation across automotive SoC cybersecurity and safety engineering. The role involves building intelligent systems for document understanding, review automation, and engineering productivity while developing scalable production-quality ML pipelines and inference systems. You will build tools for security analysis, compliance monitoring, and design automation using LLMs, GenAI, and agentic AI frameworks. Key technical requirements include proficiency in Python or C++, experience with RAG, semantic search, and workflow orchestration platforms. The work addresses critical challenges in semiconductor engineering, specifically focusing on hardware security, silicon verification, and functional safety standards like ISO/SAE 21434 and ISO 26262. You will solve complex problems at the intersection of AI/ML and automotive systems to streamline workflows across the entire product development lifecycle.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.