Relational Foundation Model Engineer, Modern Data Stack - CA, Santa Clara, United States
$184,000 - $356,500 USD yearly
Originally posted 17 August 2026 by the employer.
This role focuses on building a unified Relational Foundation Model.
About the role
This role involves building a unified foundation model that understands the structure, context, and relationships within relational databases and heterogeneous graphs.
What you'll do
- Collaborate with researchers and engineers to enhance Transformer and GNN-based models to operate over relational schemas and heterogeneous graphs.
- Gain hands-on experience with use cases such as forecasting, entity matching, customer retention, and fraud detection.
- Leverage knowledge in ML and AI to contribute to scalable and adaptable solutions.
- Work may span the full lifecycle of modern ML systems, from architecture design and training to post-training optimization and inference acceleration.
What you'll need
- MS or PhD in Machine Learning, Computer Science, or equivalent experience.
- Proficiency in Python and deep learning frameworks, such as PyTorch.
- At least 8 years of research experience in designing ML algorithm solutions.
- Practical experience in using Predictive Models in Real World Applications.
Skills: Relational Foundation Model, Transformer, graph neural network, PyTorch, ML algorithm solutions, NVIDIA-accelerated infrastructure
This role has been open 59 days — well below the 82-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
82 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (508 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 91 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 991 | 6157 · 145 employers |
| Median days open | 51 d | 82 d (−31 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: Relational Foundation Model, Transformer, graph neural network, PyTorch, ML algorithm solutions, NVIDIA-accelerated infrastructure
Who's hiring in this category
- Qualcomm · 100 open roles · median 110 d
- NVIDIA (this employer) · 91 open roles · median 52 d
- AMD · 42 open roles · median 77 d
- Micron Technology · 27 open roles · median 67 d
- Analog Devices · 19 open roles · median 35 d
- Mobileye · 17 open roles · median 79 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 17 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.