Customer Engineer - AI Compiler Specialist

at  Axelera AI

ABOUT US

Axelera AI stands at the forefront of the semiconductor industry, driving advancements in artificial intelligence acceleration.
In just over 2 years, we’ve assembled a team of over 140 brilliant engineers, developers, and business experts from across the globe. Guided by the brightest minds in the AI sphere and supported by renowned innovation leaders like IMEC, we’ve secured a total of US$50 million in funding.
Our unwavering commitment to innovation has firmly established us as a global industry pioneer.

POSITION OVERVIEW

Do you get excited by working on cutting-edge Computer Vision models to bring Artificial Intelligence applications to the next level? We are expanding our team with a Customer Engineer AI Compiler Specialist to help customers deploy and optimize their models for our state-of-the-art neural-network accelerator chip. Your work will bridge the gap between various computer vision applications (security camera, drone, retail, robotics, etc.), deep learning acceleration, and the products of our customers.

QUALIFICATIONS:

• At least 5 years of experience with Python and C++
• A deep understanding and working experience with TVM (or other AI compiler technology)
• A thorough understanding of modern deep learning architectures, their operators and how to map and optimize them for optimal performance
• Experience with debugging
• Experience with Pytorch is a plus
• An understanding of and experience with GStreamer is a plus
• Problem-solving mindset, capable of debugging and patching software issues
• Good oral and written English communication skills
• You are a team player and you are also able to autonomously plan and perform tasks
• You have a strong sense of responsibility and want to realize high ambitions

Your role will mainly include the following:
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Help customers solve compiler-level problems by mapping their applications to our hardware. This involves operator support, performance optimizations, debugging, etc.

• Understanding and applying our software tools to optimize deep learning applications so they run efficiently on our chip.
• Compile AI applications using our SDK
• Communicating your results to team members and costumers, and collaborating with different software teams