AI Systems, Language & Reasoning Models
Originally posted April 3, 2026 by the employer. Relisted by the employer on November 14, 2026.
About the role
As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that leverage the dynamics of novel silicon. The role maps modern language model behaviors directly onto hardware physics at the intersection of NLP research and hardware codesign.
What you'll do
- Design, train, and scale language and reasoning architectures—including transformers, state space models, diffusion/flow models, and deep equilibrium models—tailored for unconventional compute.
- Rethink standard sequence modeling to exploit continuous-time silicon dynamics instead of digital abstraction layers.
- Establish training recipes, loss functions, and evaluation metrics for language comprehension, logical reasoning, and generation speed.
- Collaborate with hardware designers, theorists, and system builders to co-design model architectures alongside physical compute primitives.
What you'll need
- MS/PhD or equivalent research/project experience in AI/Machine Learning, Computer Science, Physics, Electrical Engineering, or Applied Math.
- Hands-on expertise in the theory, architecture, and training of foundation models such as transformers, SSMs, or text diffusion/flow models.
- Experience designing and executing full-scale, distributed training runs for large language or reasoning models on massive compute clusters.
- Fluency in modern deep learning frameworks (PyTorch or JAX) with a track record of writing scalable training code for large language models.
Nice to have
- Experience with hardware-in-the-loop training, mixed-signal hardware, quantization, or physics-informed neural networks.
Skills: AI systems, language models, reasoning models, AI hardware
More semiconductor jobs: AI chip design jobs
First seen in our index 110 days ago, slightly above the 107-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
482
|
Median days since first seen
107 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Unconventional AI | All employers we track in this specialty (482 roles · 72 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 482 |
| Open roles in the wider Software, Firmware & Systems family | 6 | 6731 · 166 employers |
| Median days since first seen | 110 d | 107 d (−3 d vs this employer) |
| Median salary (USD postings) | n/a | $236k |
Skills observed across this category: AI systems, language models, reasoning models, AI hardware
Who's hiring in this category
- NVIDIA · 109 open roles · median 88 d
- Qualcomm · 104 open roles · median 123 d
- AMD · 21 open roles · median 128 d
- Micron Technology · 15 open roles · median 72 d
- Mobileye · 15 open roles · median 102 d
- Analog Devices · 14 open roles · median 51 d
How we counted: 482 open AI/ML Hardware Engineering (AI ML Hardware) roles from 72 employers tracked in the SemiconductorJobs index, counted 14 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.