Senior AI Hardware Engineer Position

2 days ago


Copenhagen, Copenhagen, Denmark Axelera AI Full time

Axelera AI is not your regular deep-tech startup. We are pioneers in the field of AI platforms, dedicated to helping advance humanity and improve the world around us.

Our team has built a world-class team of 180+ employees (including 55+ PhDs with more than 40,000 citations), remotely from 11 different countries and with offices in Belgium, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.

As an AI Embedded Software Engineer at Axelera AI, you will be responsible for developing and optimizing software that enables seamless execution and validation of our custom AI accelerator chip.

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

You'll leverage your expertise in C, C++, Python, and automation tools, using industry-standard build systems and debugging utilities to push the boundaries of AI acceleration.

Key Responsibilities:
  • Enable and optimize software functionality on various host machines for validating the execution of our custom AI accelerator chip.
  • Develop and maintain bare-metal software for kernel execution for a hybrid specialized architecture with in-memory-computing blocks.
  • Collaborate with Hardware and Customer teams to facilitate seamless workload execution and integration with different host environments.
  • Ensure efficient communication with low overheads for AI accelerator models.
  • Work in C, C++, Python, and scripting languages for automation.
  • Using build systems like Make, CMake, as well as GNU toolchains and debugging utilities.
Required Skills:
  • Hands-on experience working with various host machines (x86, ARM-based, or other architectures).
  • 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.
  • Ability to work independently and as part of a team.

Nice to Have:

  • PCI-Express protocol experience and other communication protocols.
  • Yocto experience and creating custom Linux distributions.
  • Level Zero API, CUDA, OpenCL experience.

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