Machine Learning Engineer, Generative AI
Qualcomm
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How this pay compares to similar roles
This role pays less than 83% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $176k versus about $226k for comparable roles.
Based on 240 similar postings.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 621 open roles on FindRole.
Listed pay typically runs $147,900–$222,500 across 601 roles with salary data.
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At a glance
Machine Learning RD joins the Applied ML R&D for HW Design team to provide technical execution and leadership in Machine Learning and Generative AI applications for chip design. This individual will lead an interdisciplinary team of researchers and engineers to develop Agentic AI tools, identify impactful research directions, and manage complex project pipelines from idea to execution. The role focuses on solving challenges in the chip design process by creating algorithmic-based tools that improve quality and performance. Required expertise includes foundational model architectures, embedding models, LLM post-training optimization, and MLOps. Candidates must be proficient in Python, Java, or C++, and experienced with frameworks like TensorFlow, PyTorch, and scikit-learn. Specific technical skills include hands-on experience with Agentic AI tools such as Langchain, Codex, Claude Code, OpenCode, and Agno to drive innovation in hardware design software.
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