Originally posted 31 August 2026 by the employer.
About the role
What you'll do
- Develop and optimize AI/ML modules for wireless signal processing functional blocks.
- Perform literature surveys on AI/ML for RAN.
- Analyze and identify suitable ML architectures for RAN functions.
- Collaborate with multi-functional teams to optimize OTA performance and compute complexity.
- Benchmark OTA performance improvements with AI models and compute needs on different platforms.
- Iteratively train, test, and modify model architectures for performance improvements.
What you'll need
- Full-time PhD student doing research in AI and wireless domains, able to intern for at least 6 months starting January 2026.
- Thorough understanding of wireless Layer1/Layer2 functions and algorithm aspects.
- Excellent grip on AI and ML concepts, techniques, and latest developments.
- Deep understanding of Transformers, CNNs, and other ML Architectures and their use cases.
- Hands-on experience simulating signal processing algorithms in Matlab and Python.
- Programming skills in C/C++.
- Experience analyzing problems, identifying model architectures, developing models, training, and optimization, preferably in signal processing domains.
Skills: AI/ML, wireless L1/L2, RAN, signal processing, 6G
More semiconductor jobs: NVIDIA jobs · AI chip design jobs · India jobs
This role has been open 66 days — well below the 101-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
477
|
Median days open
101 d
|
Category median salary (all employers)
$238k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (477 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 103 | 477 |
| Open roles in the wider Software, Firmware & Systems family | 1183 | 6473 · 156 employers |
| Median days open | 79 d | 101 d (−22 d vs this employer) |
| Median salary (USD postings) | — | $238k |
Skills observed across this category: AI/ML, wireless L1/L2, RAN, signal processing, 6G
Who's hiring in this category
- NVIDIA (this employer) · 103 open roles · median 79 d
- Qualcomm · 96 open roles · median 127 d
- AMD · 29 open roles · median 119 d
- Micron Technology · 16 open roles · median 66 d
- Mobileye · 15 open roles · median 93 d
- Analog Devices · 14 open roles · median 54 d
How we counted: 477 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 5 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 — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.