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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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