PhD Intern, AI ML in Wireless L1/L2 - Fall 2026 - Bengaluru, India
AI/ML Hardware
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
Market context
This role has been open 23 days — well below the 68-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
514
|
Median days open
68 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (514 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 87 | 514 |
| Open roles in the wider Software, Firmware & Systems family | 1001 | 5948 · 143 employers |
| Median days open | 69 d | 68 d (+1 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: AI/ML, wireless L1/L2, RAN, signal processing, 6G
Who's hiring in this category
- Qualcomm · 106 open roles · median 101 d
- NVIDIA (this employer) · 84 open roles · median 63 d
- AMD · 46 open roles · median 61 d
- Micron Technology · 33 open roles · median 43 d
- Mobileye · 21 open roles · median 57 d
- Analog Devices · 14 open roles · median 26 d
How we counted: 514 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 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.