Originally posted 20 October 2026 by the employer.
Join the applied research team developing language models for code and mathematics reasoning using the NeMo open-source toolkit.
About the role
This role involves developing Deep Learning models and large-scale training algorithms for language models focused on code and mathematics reasoning. Work includes releasing models via the NeMo open-source conversational AI toolkit and training across GPU cloud infrastructure.
What you'll do
- Develop new Deep Learning models for language models focused on code and mathematics reasoning.
- Design new large scale training algorithms to train large models on GPU cloud.
- Open-source models using NeMo conversational AI frameworks.
- Mentor interns and publish research papers at top AI conferences.
- Collaborate with universities and research teams.
What you'll need
- PhD in Computer Science or Electrical Engineering with specialization in Deep Learning.
- 2+ years of research experience in Deep Learning theory and applications.
- Excellent Python programming skills.
- Experience with PyTorch.
- Strong publications record in Deep Learning.
Skills: Deep Learning, PyTorch, language models, NeMo, GPU cloud
More semiconductor jobs: AI chip design jobs
This role has been open 9 days — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 88 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 1002 | 6367 · 147 employers |
| Median days open | 65 d | 87 d (−22 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Deep Learning, PyTorch, language models, NeMo, GPU cloud
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA (this employer) · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 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.