Artificial Intelligence Software Engineer
5 days ago
About Axelera AI:
We are a pioneering deep-tech startup creating the next-generation AI platform to support humanity and improve the world around us.
Our mission is to empower anyone who wants to contribute to advancing AI technology.
As an international organization, we have built a world-class team of 180+ employees from 11 different countries, with offices in Belgium, Switzerland, Italy, the UK, and headquartered at the High Tech Campus in Eindhoven, Netherlands.
We have launched our Metis AI Platform, which achieves a 3-5x increase in efficiency and performance, and have a strong business pipeline exceeding $100 million.
At Axelera AI, we value innovation, collaboration, and equal opportunity for all team members.
Job Description:Position Overview:You will be part of our dynamic team as an AI Embedded Software Engineer, developing and optimizing software that enables seamless execution and validation of our custom AI accelerator chip.
Working at the intersection of hardware and software, you will 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.
- 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.
- 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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