Senior Deep Learning Researcher – Model Efficiency - Qualcomm - Amsterdam
Originally posted 14 September 2026 by the employer — open 6 days.
About the role
This senior deep learning researcher role focuses on developing novel techniques to optimize LLMs and LVMs, including model quantization and compression, efficient data types, conditional compute, and inference time compute.
What you'll do
- Conduct research and develop innovative deep learning-based models and algorithms.
- Design, experiment, and implement novel solutions to advance inference efficiency.
- Create scientific and business impact by developing breakthroughs in AI research.
- Engage with other teams to deploy ideas on devices such as mobile phones, robots, AR/VR headsets, or automated vehicles.
- Stay updated with advancements in AI and machine learning.
- Publish novel research findings in conferences and journals and engage with the academic community.
What you'll need
- PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering, or a similar field, or equivalent practical experience.
- Experience in machine learning and deep learning, including hands-on experience developing and optimizing models.
- Programming experience in Python.
- Hands-on experience with standard deep learning toolkits such as PyTorch or Jax.
- Strong problem-solving abilities.
Nice to have
- Extensive experience in deep learning research.
- Impactful first-author publications in machine learning conferences and journals (NeurIPS, ICML, ICLR, CVPR).
- Prior experience with efficiency related topics such as quantization, compression, or hardware accelerators for neural networks.
- Experience working with a variety of stakeholders and communicating complex outcomes.
- Prior experience working in industrial research.
- Technology leadership experience.
Skills: deep learning models, inference efficiency, AI Research, PyTorch, hardware accelerators
This role has been open 6 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 | Qualcomm | All employers we track in this specialty (517 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 106 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 718 | 5787 · 143 employers |
| Median days open | 98 d | 66 d (+32 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: deep learning models, inference efficiency, AI Research, PyTorch, hardware accelerators
Who's hiring in this category
- Qualcomm (this employer) · 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 · 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.