Qualcomm
Machine Learning R&D
$141K–$211K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- At least 2 years of industry experience in Machine Learning/GenAI and MLOps. Minimum qualifications also list alternatives: bachelor's degree and 2+ years of related work experience, master's degree and 1+ year, or a PhD.
- Education
- PhD in Computer Science, Electrical Engineering, or a related field; minimum qualifications also state bachelor's or master's degree in a related field under the listed experience alternatives.
About the job
Leads research and product development of generative and agentic AI tools for chip design, helping turn ML research into tools used in Qualcomm’s chip design process.
What you'll do
- Designs and delivers Agentic AI for hardware design and pursues impactful GenAI research directions.
- Provides technical leadership and coaching while contributing to project delivery.
- Works with cross-functional teams to identify and deliver solutions for technical opportunities and gaps.
What they ask for
- PhD in Computer Science, Electrical Engineering, or a related field.
- At least 2 years of industry experience in Machine Learning/GenAI and MLOps.
- Industry experience in ML/AI product development and deployment, and foundation model development.
- Hands-on industry expertise in Agentic AI tools, frameworks, and best practices.
Pay
$140,800.00 - $211,200.00 USD base salary
Tools
Python, Java, C++, TensorFlow, PyTorch, scikit-learn, Langchain, Agno
AI focus
Generative AI, foundation models, embeddings, LLM and agentic AI post-training optimization, and Agentic AI applications in chip design.
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