Multiple roles in Machine Learning & Deep Learning NeurIPS 2026
$178,200 - $267,400 USD yearly
Originally posted 12 November 2026 by the employer.
About the role
Qualcomm AI Research is hiring research interns across machine learning and deep learning to develop algorithms, models, and systems for deployment across mobile, compute, automotive, robotics, cloud, XR, and IoT platforms. Research spans areas including model compression, quantization, hardware-aware optimization, foundation models, and compute-in-memory.
What you'll do
- Conduct original research, develop novel machine learning algorithms and architectures, and design, train, and evaluate AI models.
- Develop efficient AI systems and software frameworks, including optimization for mobile, edge, and cloud platforms.
- Explore emerging computing paradigms, including hardware-software co-design, compute-in-memory, and distributed or federated learning.
- Collaborate with researchers and engineers to prototype, validate, and communicate research findings, contributing to scientific publications and technology transfer.
What you'll need
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; OR a PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field with 2+ years of relevant engineering work experience.
- 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Skills: machine learning, deep learning, quantization, hardware-aware optimization, compute-in-memory
More semiconductor jobs: Qualcomm jobs · AI chip design jobs · San Diego jobs
First seen in our index 0 days ago, well below the 108-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
467
|
Median days since first seen
108 d
|
Category median salary (all employers)
$237k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (467 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 95 | 467 |
| Open roles in the wider Software, Firmware & Systems family | 704 | 6618 · 158 employers |
| Median days since first seen | 134 d | 108 d (−26 d vs this employer) |
| Median salary (USD postings) | n/a | $237k |
Skills observed across this category: machine learning, deep learning, quantization, hardware-aware optimization, compute-in-memory
Who's hiring in this category
- NVIDIA · 108 open roles · median 86 d
- Qualcomm (this employer) · 94 open roles · median 133 d
- AMD · 21 open roles · median 126 d
- Mobileye · 15 open roles · median 100 d
- Analog Devices · 14 open roles · median 49 d
- Micron Technology · 13 open roles · median 57 d
How we counted: 467 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 12 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.