$31,400 USD yearly
Originally posted 4 September 2026 by the employer — open 13 days.
Join the Client AI (Movidius NPU) group specializing in high-performance, ultra-low power Neural network IP technology.
About the role
This internship supports development activities across hardware and software-centric design teams within the Client AI (Movidius NPU) group, focusing on Neural network IP (NPU) technology for AI applications.
What you'll do
- Support development activities across hardware and software development disciplines.
- Perform FPGA emulation, remote testing, and development farm operations.
- Test and validate product specifications and characteristics.
- Develop use case projects, including demo development, using prototyping hardware.
- Develop lab tools and services.
- Manage operational and business aspects including EHS, logistics & controlled technology, privacy (GDPR), and finance.
What you'll need
- Currently enrolled in a Level 8 or Level 9 college course in Electronic Engineering, Computer Engineering, Computer Science, or an equivalent course.
- Available for six to eight months in 2027, with a preferred starting date between January and June.
- Strong analytical & problem-solving skills.
- Self-motivated with ability to work independently and manage stakeholders.
- Excellent written and verbal communication skills.
- Demonstrated team dynamics / ability to work as part of a high performing team.
- Ability to deal with ambiguity in defining activities and direction.
- Good planning & organization skills.
Skills: Neural network IP, NPU, hardware IP design, hardware architecture, AI applications
This role has been open 13 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
518
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (518 roles · 78 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 518 |
| Open roles in the wider Software, Firmware & Systems family | 150 | 5791 · 144 employers |
| Median days open | 16 d | 65 d (−49 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: Neural network IP, NPU, hardware IP design, hardware architecture, AI applications
Who's hiring in this category
- Qualcomm · 107 open roles · median 98 d
- NVIDIA · 87 open roles · median 64 d
- AMD · 43 open roles · median 69 d
- Micron Technology · 29 open roles · median 41 d
- Mobileye · 25 open roles · median 51 d
- Analog Devices · 14 open roles · median 20 d
How we counted: 518 open AI/ML Hardware Engineering (AI ML Hardware) roles from 78 employers tracked in the SemiconductorJobs index, counted 17 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.