Intel NPU Internship
About this role
Job Details:
Job Description:
Client AI (
Movidius
NPU
)
group specializes
in
design of high-performance, ultra-low power
N
eural network
IP
(NPU)
technology for advanced AI applications
.
Step inside our world and
you’ll
find one brilliant mind after another working together in a spirit of collaboration that is simply contagious. And through this shared dedication, a culture of innovation and exploration, we do more than deliver the latest technologies.
We deliver the future. And this is where you come in. We need innovators and proven communicators like you to push our thinking. We need your strong collaboration and organizational skills, as well as your ability to effectively work with and manage teams. You will help push us to the next level. Joining Client AI (
Movidius
NPU
) means joining a dynamic team at a company that has
established
a reputation for innovation.
Client AI (
Movidius
NPU
)
has
multiple
Internships available in
202
7
across all our hardware
and
software
centric design teams. We have roles in the following teams:
Hardware focused roles:
Physical design team
P
hysical layout,
design
and verification
RTL Design team
Hardware
IP design and verification
Architecture team
Hardware Architecture design
Verification team
Hardware IP verification
and
design qualification
AI Applications team
Evaluate Neural network
use cases
Software focused roles:
Complier team
Developing an optimised compiler toolchain for the IP to deliver inference performance
though the
OpenVino
tool kit
->
Intel® Distribution of OpenVINO™ Toolkit
Dev Ops
IT and
O
perational services
N
PU Softwa
re -
Developing software drivers and firmware for the IP
Pre-Silicon
Simulation team
–
IP Mode
ls
and
integrating them
into
virtual platforms
.
Mixed SW/HW roles:
Emulation
team
D
eveloping and
validat
e
pre silicon
models on FPGA and emulation
platform
s.
Design Automation
Infrastructure and automation
[
Please indicate
on
your cover letter roles you would be interested in
]
Specific technical activities will vary depending per team, with all internships working on our current
cutting-edge
N
PU neural processor technology portfolio. A strong
problem-solving
mindset is needed to resolve issues in flows, in designs, in testcases, toolsets etc.
Requirements
- The candidate must be currently doing a Level 8 or Level 9 college course
- in Electronic Engineering, Computer Engineering, Computer
- Science
- or an equivalent course.
- You must also be available for six to eight months in 2027 with a preferred starting date between January and June.
- Required Competencies
- 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.