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PhD Internship – AI Processor Architecture for Edge Applications(m/w/x)
Description
In this PhD internship, you will engage in cutting-edge research on AI processor architecture, contributing to advancements that power billions of edge devices across robotics, automotive, and industrial sectors.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD in Computer Engineering, Electrical Engineering, or related field
- •Enrollment at a university supporting internships during PhD
- •Strong interest in real-time systems, embedded AI, and heterogeneous computing
- •Experience with hardware design (e.g., RTL, HLS, FPGA, ASIC)
- •Familiarity with AI workloads in physical or embedded systems
Education
Tasks
- •Research heterogeneous accelerator architectures for robotics, ADAS, and industrial AI
- •Co-design hardware, software, and tools for real-time, safety-critical systems
- •Develop domain-specific compiler and runtime support for physical AI workloads
- •Integrate sensor fusion and perception algorithms into custom accelerators
- •Perform security-related tasks as needed
- •Ensure compliance with security certifications through reliable work practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Other Benefits
- •Support for publications
- •Support for academic exchange
- •Support for open innovation
- •Support for academic publishing
Additional Allowances
- •Support for conference participation
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PhD Internship – AI Processor Architecture for Edge Applications(m/w/x)
The AI Job Search Engine
Description
In this PhD internship, you will engage in cutting-edge research on AI processor architecture, contributing to advancements that power billions of edge devices across robotics, automotive, and industrial sectors.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD in Computer Engineering, Electrical Engineering, or related field
- •Enrollment at a university supporting internships during PhD
- •Strong interest in real-time systems, embedded AI, and heterogeneous computing
- •Experience with hardware design (e.g., RTL, HLS, FPGA, ASIC)
- •Familiarity with AI workloads in physical or embedded systems
Education
Tasks
- •Research heterogeneous accelerator architectures for robotics, ADAS, and industrial AI
- •Co-design hardware, software, and tools for real-time, safety-critical systems
- •Develop domain-specific compiler and runtime support for physical AI workloads
- •Integrate sensor fusion and perception algorithms into custom accelerators
- •Perform security-related tasks as needed
- •Ensure compliance with security certifications through reliable work practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Other Benefits
- •Support for publications
- •Support for academic exchange
- •Support for open innovation
- •Support for academic publishing
Additional Allowances
- •Support for conference participation
About the Company
NXP Semiconductors
Industry
IT
Description
The company is an international high-tech firm recognized for its family-friendly policies and commitment to gender equality in the workplace.
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