9 it engineer English-speaking jobs in Erlangen

  • Siemens Healthineers
  • Erlangen
  • July 3
LogoWe aspire to lead the change in our industry rather than just react to it. ... We aspire to lead the change in our industry rather than just react to it. ... It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving ... Setting up a profile lets us know you are interested in career opportunities with us and makes it easy ... Setting up a profile lets us know you are interested in career opportunities with us and makes it easy
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Erlangen, , Germany
  • August 8
Your Tasks Integrated hardware accelerators for machine learning in RISC-V subsystems Hardware and hardware-related software for methods and strategies for battery-powered IoT nodes with an optimized RISC-V processor subsystem for ultra-low power consumption Hard- and software co-optimized architectures and strategies for high-performance, energy-efficient hardware accelerators, as well as a Syste
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