Machine Learning R&D
$140,800 - $211,200 USD yearly
Originally posted 20 July 2026 by the employer.
Apply Agentic AI tools and foundation models to chip design execution at Qualcomm.
About the role
Qualcomm is seeking a candidate to provide technical execution and leadership in Machine Learning/AI R&D, focusing on Generative AI and its applications in chip design. You will work on ML/AI or algorithmic-based design tools used in the Qualcomm chip design execution process.
What you'll do
- Execute the design and delivery of Agentic AI for hardware design. - Identify and pursue technical research directions for Generative AI applications in hardware design. - Serve as a technical contributor and lead across an interdisciplinary team of ML researchers, ML SW engineers, and hardware designers. - Engage with cross-functional teams to identify and deliver solutions for technical gaps and opportunities across the chip design process. - Stay current on AI, systems, and hardware-software advances relevant to AI for chip design.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 2+ years of relevant experience, or a Master's with 1+ year, or a PhD. - Industry experience in Machine Learning/GenAI and MLOps, including ML/AI product development and deployment. - Deep knowledge of foundational model architectures and experience in foundation model development. - Hands-on industry expertise in Agentic AI tools and frameworks (e.g., Codex, Claude Code, OpenCode, LangChain, Agno). - Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. - Proficiency in programming languages such as Python, Java, or C++.
Skills: Machine Learning, Generative AI, chip design, MLOps, ML SW project
This role has been open 90 days — well above the 46-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
111
|
Median days open
46 d
|
Median salary
$202k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (111 roles · 32 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 111 |
| Open roles in the wider Software, Firmware & Systems family | 717 | 6166 · 145 employers |
| Median days open | 90 d | 46 d (+44 d vs this employer) |
| Median salary (USD postings) | — | $202k |
Skills observed across this category: Machine Learning, Generative AI, chip design, MLOps, ML SW project
Who's hiring in this category
- Applied Materials · 14 open roles · median 58 d
- KLA Corporation · 13 open roles · median 31 d
- Micron Technology · 13 open roles · median 39 d
- Lam Research · 8 open roles · median 23 d
- Cadence Design Systems · 7 open roles · median 21 d
- NVIDIA · 7 open roles · median 165 d
How we counted: 111 open Software Engineering Semiconductor (AI EDA Design) roles from 32 employers tracked in the SemiconductorJobs index, counted 19 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.