Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design)
Originally posted 14 July 2026 by the employer.
Join a team developing ML solutions for materials science and semiconductor applications.
About the role
This role involves developing practical, science-grounded ML solutions for materials science and semiconductor applications.
What you'll do
- Design and support AI models and workflows for chemical systems for thin film development. - Model and embed known physics and mechanisms to ensure accurate model output and turnaround time. - Build data pipelines to extract data from multi-modal data sources. - Collaborate with software and data science engineers to deliver reproducible pipelines, dashboards, APIs, and decision-support tools. - Mentor engineers, define modelling standards, and communicate across AI/ML, chemistry, materials, and semiconductor teams.
What you'll need
- PhD or MSc with expertise in CS, Data Science, Materials Science, Physics, Chemistry, Engineering or a related field. - Hands-on experience building ML models, tools, and frameworks for materials science. - 6+ years’ experience applying AI/ML or computational methods (MLIPs, DFT, MD, kMC, etc.) to scientific or engineering problems. - Hands-on experience with atomistic to feature scale simulation/modelling tools and frameworks like generative models, deterministic models, Stochastic models, active learning, Python, PyTorch/TensorFlow/JAX/scikit-learn, VASP, Synopsys, Cadence, Silvaco, NumPy, SciPy, and MLflow. - Ability to translate physical, chemical, and engineering challenges into practical AI/ML workflows for materials engineering. - AI/ML experience in semiconductor materials engineering or in relevant chemistry/materials systems. - Experience with computational materials modelling, simulations, or scientific software frameworks.
Skills: AI models, thin film development, materials science, ML models, computational materials modelling
This role has been open 99 days — well above the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | ASM International | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 48 | 6268 · 146 employers |
| Median days open | 85 d | 89 d (−4 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI models, thin film development, materials science, ML models, computational materials modelling
Who's hiring in this category
- Qualcomm · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 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.