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PhD Internship – AI Processor Architecture for Edge Applications(m/w/x)
Co-designing hardware/software for heterogeneous AI accelerator architectures in real-time, safety-critical systems at high-tech firm. PhD in Computer Engineering or Electrical Engineering, with university enrollment for internship, required. Support for publications, academic exchange, and conference participation.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- RTL
- HLS
- FPGA
- ASIC
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)
Co-designing hardware/software for heterogeneous AI accelerator architectures in real-time, safety-critical systems at high-tech firm. PhD in Computer Engineering or Electrical Engineering, with university enrollment for internship, required. Support for publications, academic exchange, and conference participation.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- RTL
- HLS
- FPGA
- ASIC
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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