Research Intern, Physical AI and GPU (PhD) - Hyderabad, India
Originally posted 1 October 2026 by the employer.
About the role
This internship focuses on building platforms and infrastructure for Physical AI, specifically concentrating on intelligence, networking, and silicon for autonomous systems.
What you'll do
- Optimize CUDA for performance on limited memory and low-end GPUs.
- Build compute, networking, and security platforms for autonomous systems.
- Engineer agentic capabilities for self-planning and decision-making systems.
- Design and train ML models and SLMs for perception, reasoning, and action on real-world input.
What you'll need
- Enrolled in a PhD, MS by Research, or MTech by Research program in Computer Science, Computer Engineering, Electronics or Electrical Engineering, or Robotics.
- Strong GPU and CUDA programming skills, including kernel optimization, memory management, and performance tuning.
- Strong fundamentals in machine learning, computer architecture, and systems.
- Experience with robotic platforms or real-world AI applications (perception, sensors, or real-time control).
- Programming in C/C++ and Python.
- Hands-on experience with ML modeling, training, and fine-tuning (PyTorch or TensorFlow).
Nice to have
- Exposure to model optimization and quantization for constrained hardware.
- Exposure to robotics frameworks (e.g., ROS).
- Exposure to on-device inference.
- Exposure to agentic systems.
Skills: physical AI, GPU, CUDA, ML models, AI systems
This role has been open 0 days — well below the 72-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
72 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Marvell Technology | All employers we track in this specialty (506 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 49 | 5961 · 145 employers |
| Median days open | 0 d | 72 d (−72 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: physical AI, GPU, CUDA, ML models, AI systems
Who's hiring in this category
- Qualcomm · 106 open roles · median 105 d
- NVIDIA · 84 open roles · median 69 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 29 open roles · median 55 d
- Mobileye · 20 open roles · median 68 d
- NXP Semiconductors · 15 open roles · median 58 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 1 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.