AI Embedded Systems Developer

2 weeks ago


Copenhagen, Copenhagen, Denmark Axelera AI Full time

Axelera AI is not your regular deep-tech startup. We're driving innovation in AI technology to make a positive impact on society.

In just three years, we've achieved remarkable success, building a world-class team and establishing ourselves as a global industry pioneer.

We're looking for talented individuals to join our dynamic team as AI Embedded Software Engineers.

As a key member of our team, you'll develop and optimize software that enables seamless execution and validation of our custom AI accelerator chip.

Working at the intersection of hardware and software, you'll design bare-metal solutions for a specialized architecture, ensuring efficient communication and low-overhead integration with host systems.

This role involves close collaboration with hardware and customer teams to fine-tune workloads, enhance performance, and streamline deployment.

Responsibilities:
  • Design and implement bare-metal solutions for a specialized architecture.
  • Develop and maintain software for kernel execution for a hybrid specialized architecture with in-memory-computing blocks.
  • Collaborate with Hardware and Customer teams to ensure seamless workload execution and integration.
  • Optimize software functionality on various host machines for validating the execution of our custom AI accelerator chip.
  • Work in C, C++, Python, and scripting languages for automation.
Requirements:
  • Engineering degree in computer science or software engineering.
  • 3+ years of experience - academic experience acceptable depending on projects.
  • Hands-on experience working with various host machines (x86, ARM-based, or other architectures) and enabling software functionality on them.
  • Exposure to specialized semiconductors, particularly accelerators, GPUs, or custom AI chips.
  • Understanding of embedded systems architecture, including microprocessors, microcontrollers, and embedded operating systems.
  • Experience with low-level programming, device drivers, or hardware/software integration.
  • Familiarity with system bring-up, debugging tools (gdb, JTAG, serial interfaces), and performance tuning.
  • Proficiency in Linux environments, including scripting, automation, and debugging system interactions.


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