below marketmost similar roles pay hereabove market
This role pays less than
87%
of similar roles. Most pay
$197,687–$254,750
— the blue band above.
At the midpoint, this role pays about
$176k
versus about
$226k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
Machine Learning RD joins the Applied ML R&D for HW Design team to develop algorithmic design tools that improve chip design quality and performance. The role involves providing technical leadership and execution for Generative AI applications in hardware design, specifically focusing on Agentic AI. You will lead an interdisciplinary team of researchers and engineers to deliver end-to-end products, managing complex ML software pipelines and coaching others on technical tasks. Required expertise includes foundation model development, embedding models, and post-training optimization for LLMs. You must be proficient in Python, Java, or C++ and experienced with frameworks like TensorFlow, PyTorch, and scikit-learn. Additionally, you will utilize tools such as Langchain, Agno, and Codex to solve technical gaps in the chip design execution process.
Design and deliver Agentic AI solutions for hardware design processes.
Identify and pursue impactful research directions for Generative AI applications in hardware design.
Lead the technical delivery of machine learning software projects and development pipelines.
Perform hands-on optimization for embedded models, LLMs, and agentic AI post-training.
Coach and lead an interdisciplinary team of ML researchers, software engineers, and hardware designers.
Identify and resolve technical gaps by engaging with cross-functional teams.
Stay current on AI, systems, and hardware-software advances relevant to chip design.
What we're looking for
PhD in Computer Science, Engineering, Information Systems, or a related field.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 2+ years of Hardware, Software, or Systems Engineering experience.
Master's degree in Computer Science, Engineering, Information Systems, or a related field and 1+ year of Hardware, Software, or Systems Engineering experience.
At least 2 years of industry experience in Machine Learning, Generative AI, and MLOps.
Industry experience in ML/AI product development, deployment, and foundation model development.
Proficiency in programming languages such as Python, Java, or C++.
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
Hands-on industry expertise in Agentic AI tools, frameworks, and best practices.
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