Senior Staff Deep Learning Researcher – Model Efficiency - Qualcomm - Amsterdam
Originally posted 14 September 2026 by the employer.
About the role
This role involves deep learning research focused on model efficiency to push the frontier of on-device efficiency. The team develops 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 for inference efficiency.
- Mentor and guide other team members, and define research roadmaps.
- Interact with cross-functional and cross-team/cross-departmental stakeholders.
What you'll need
- PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering, or similar field, or equivalent practical experience.
- Significant professional experience in machine learning and deep learning in an academic and/or industrial research setting (7 years post-PhD, or equivalent).
- Proven experience in guiding others (e.g., supervising PhD students, leading teams).
- Hands-on experience developing and optimizing models.
Nice to have
- Prior experience with efficiency related topics such as quantization, compression, or hardware accelerators for neural networks.
- Experience working with a variety of stakeholders and ability to communicate complex outcomes.
- Prior experience working in industrial research and/or technology leadership experience.
Skills: deep learning, model efficiency, inference efficiency, neural networks, machine learning
This role has been open 43 days — well below the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 99 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 708 | 6268 · 146 employers |
| Median days open | 118 d | 89 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: deep learning, model efficiency, inference efficiency, neural networks, machine learning
Who's hiring in this category
- Qualcomm (this employer) · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 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.