AI Software Development Engineer

5 days ago


Helsinki, Uusimaa, Finland Axelera AI Full time

About Us

Axelera AI: Pioneers in Next-Generation AI Platforms

We are a cutting-edge deep-tech startup revolutionizing the AI industry by creating innovative solutions that drive human progress and improve the world around us.

Our team of 180+ employees, including 55+ PhDs with over 40,000 citations, is dedicated to pushing the boundaries of what's possible. We have offices in Belgium, Switzerland, Italy, the UK, and our headquarters at the High Tech Campus in Eindhoven, Netherlands.

We have developed the Metis AI Platform, which achieves a 3-5x increase in efficiency and performance, and we have visibility into a strong business pipeline exceeding $100 million. Our commitment to innovation has firmly established us as a global industry pioneer.

Position Overview

The Applications team develops the customer-facing components of Axelera AI's Voyager SDK, including low-code model deployment, end-to-end pipeline development, application integration, and analytics. Customers use these tools to quickly evaluate, prototype, and build complete production AI solutions accelerated by Axelera AI devices.

We are seeking skilled and innovative software engineers to help us scale the product to support a wider range of models, pipelines, and end-customer use cases. This is a challenging but rewarding role that can cover a variety of tasks such as compiling high-level graphical representations of ML-based pipelines, optimizing memory usage and synchronization on heterogeneous hardware targets, and writing low-level implementations of computer vision operators for specialized processing elements.

Key Responsibilities

  • Study research papers, open-source code repositories, and product documentation to deploy new models using the Voyager SDK and evaluate their performance and accuracy
  • Implement image pre and post-processing operators, collaborate with the compiler team to troubleshoot compilation issues, and write decoders that transform inference tensors to metadata for ease of use by application developers
  • Integrate popular industry-standard model frameworks within the SDK to facilitate low-code and no-code deployment of many customer models and datasets
  • Define metadata representations for common types of models (such as bounding boxes and keypoints), create libraries for evaluating deployed model accuracy on Axelera AI hardware, and create libraries for visually rendering inference results
  • Optimize end-to-end pipeline latency and throughput, root cause any bottlenecks arising on supported hardware platforms, and develop profiling tools to help customers more easily analyze and understand bottlenecks in their own pipelines
  • Write and maintain comprehensive product documentation and share knowledge with team members, promoting best practices and continuous improvement


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