$230,000 - $316,250 USD yearly
Originally posted 11 September 2026 by the employer — open 8 days.
About the role
This role involves designing and building multimodal reasoning models for Edge AI applications.
What you'll do
- Develop and evaluate deep learning models for multimodal classification and reasoning tasks.
- Engage in the full research lifecycle, including data collection, annotation, preprocessing, model training, and evaluation.
- Prototype models in Python (using PyTorch/TensorFlow) and implement core reasoning improvements.
- Apply distillation techniques to transfer reasoning capabilities from larger models to smaller, efficient models.
- Document experiments and results through internal reports, blog posts, and publications.
What you'll need
- 10+ years of experience releasing software products with a strong track record of AI/ML success.
- 6+ years of experience releasing AI/ML products.
- PhD in AI-related fields such as NLP, Computer Vision, or Speech Processing.
- Strong publication record in NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, or CVPR.
- Proficiency in training, post-training, and evaluating transformer-based models with deep understanding of training dynamics, architecture modifications, and optimization techniques.
- Expertise in supervised fine-tuning, RL (e.g., GRPO), and advanced post-training techniques for reasoning models.
- Experience in implementing and modifying transformer architectures (encoder/decoder variants, attention mechanisms, positional encodings).
- Advanced knowledge of techniques including Chain-of-Thought (CoT) and agentic tree search methods.
- Experience with multi-agent orchestration, task decomposition, and static frameworks (e.g., LangGraph) and dynamic multi-agent harnesses.
Skills: multimodal reasoning models, Edge AI, deep learning models, transformer-based models, agentic systems
This role has been open 8 days — well below the 66-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
66 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Analog Devices | All employers we track in this specialty (517 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 14 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 109 | 5787 · 143 employers |
| Median days open | 23 d | 66 d (−43 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: multimodal reasoning models, Edge AI, deep learning models, transformer-based models, agentic systems
Who's hiring in this category
- Qualcomm · 106 open roles · median 98 d
- NVIDIA · 85 open roles · median 66 d
- AMD · 43 open roles · median 61 d
- Micron Technology · 32 open roles · median 38 d
- Mobileye · 25 open roles · median 52 d
- Analog Devices (this employer) · 14 open roles · median 23 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 20 Sept 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.