30 English-speaking jobs in Erlangen

  • Lieferando
  • Erlangen, , Germany
  • August 11
We're looking for new couriers to spread some delivery joy to our customers. Working as a Driver Weekend for Lieferando, you're our on-road heroes and help to keep us moving. Whether you've got the pizzas for a party or the groceries for dinner, every delivery is a big event, and your chance to make someone's day.
  • Lieferando
  • Erlangen
  • August 8
We're looking for new couriers to spread some delivery joy to our customers. Working as a Driver Weekend for Lieferando, you're our on-road heroes and help to keep us moving. Whether you've got the pizzas for a party or the groceries for dinner, every delivery is a big event, and your chance to make someone's day.
  • Lieferando
  • Erlangen
  • August 8
We're looking for new couriers to spread some delivery joy to our customers. Working as a Driver Weekend for Lieferando, you're our on-road heroes and help to keep us moving. Whether you've got the pizzas for a party or the groceries for dinner, every delivery is a big event, and your chance to make someone's day.
  • Lieferando
  • Erlangen
  • August 8
We're looking for new couriers to spread some delivery joy to our customers. Working as a Driver Parttime for Lieferando, you're our on-road heroes and help to keep us moving. Whether you've got the pizzas for a party or the groceries for dinner, every delivery is a big event, and your chance to make someone's day.
  • Lieferando
  • Erlangen
  • August 8
We're looking for new couriers to spread some delivery joy to our customers. Working as a Driver Parttime for Lieferando, you're our on-road heroes and help to keep us moving. Whether you've got the pizzas for a party or the groceries for dinner, every delivery is a big event, and your chance to make someone's day.
  • 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
  • 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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