25m ago
Construction Project Manager
General · Construction
📡Fully Remote
$1500 - $2500 USD/mo
AI/ML Compiler Engineer
NXP Semiconductors | ML / AI Engineer | Semiconductors
Hybrid
Internship
Germany, Munich
from €2420 EUR/mo
Position:
Intern (f/m/d) AI/ML Compiler Engineer
Company:
NXP Semiconductors N.V.
Compensation:
A monthly salary of €2,420.00
Location:
Germany, Munich
Employment type:
Full time
Work Arrangement:
Hybrid setup
Short Summary:
Join the “AI IP and Solutions” Department at NXP to work on AI compiler technologies, contributing to real-world applications and gaining experience in innovative development.
Responsibilities:
- Enable NXP devices with ML acceleration using modern AI compiler technologies such as MLIR.- Implement new methods for mapping AI workloads onto edge devices.- Study and work with open-source AI/ML compiler technologies.- Deploy neural networks onto heterogeneous systems.
Requirement:
- Currently pursuing a degree in computer sciences, computer engineering, or related fields (Master).- Strong skills in programming languages such as C/C++ or Python.- Knowledge of embedded systems and AI compiler frameworks/NPUs.- Experience with Linux environments and development tools (VSCode, git).- Fundamental know-how of neural networks (PyTorch/Tensorflow).- Good English communication skills.
Benefits:
- Flexible working hours.- 2.5 days of vacation per month for voluntary internships.- Access to an on-site cafeteria.- Networking initiatives and Employee Resource Groups fostering professional and personal exchange.
Intern (f/m/d) AI/ML Compiler Engineer
Company:
NXP Semiconductors N.V.
Compensation:
A monthly salary of €2,420.00
Location:
Germany, Munich
Employment type:
Full time
Work Arrangement:
Hybrid setup
Short Summary:
Join the “AI IP and Solutions” Department at NXP to work on AI compiler technologies, contributing to real-world applications and gaining experience in innovative development.
Responsibilities:
- Enable NXP devices with ML acceleration using modern AI compiler technologies such as MLIR.- Implement new methods for mapping AI workloads onto edge devices.- Study and work with open-source AI/ML compiler technologies.- Deploy neural networks onto heterogeneous systems.
Requirement:
- Currently pursuing a degree in computer sciences, computer engineering, or related fields (Master).- Strong skills in programming languages such as C/C++ or Python.- Knowledge of embedded systems and AI compiler frameworks/NPUs.- Experience with Linux environments and development tools (VSCode, git).- Fundamental know-how of neural networks (PyTorch/Tensorflow).- Good English communication skills.
Benefits:
- Flexible working hours.- 2.5 days of vacation per month for voluntary internships.- Access to an on-site cafeteria.- Networking initiatives and Employee Resource Groups fostering professional and personal exchange.
Required Skills
c_cppgitlinuxneural_networkspythonpytorchtensorflow
Required Languages
🇬🇧 English
Key competency: ML / AI Engineer