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    Application Engineer Linux - United Kingdom - Axelera

    Axelera
    Axelera United Kingdom

    1 week ago

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    Description
    Axelera AI stands at the forefront of the semiconductor industry, driving advancements in artificial intelligence acceleration.

    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.

    The Applications team develops the customer-facing components of Axelera AI's Voyager SDK, including low-code model deployment, end-to-end pipeline development and application integration and analytics.

    Customers use these tools to quickly evaluate, prototype and build complete production AI solutions accelerated by Axelera AI devices.

    The Applications team develops cutting-edge development tools with simple APIs that ensure the solutions deployed by our customers reach the highest levels of performance and accuracy available in the market.

    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 which 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 specialised processing elements.

    Studying research papers, open-source code repositories and product documentation to deploy new models using the Voyager SDK, and evaluating their performance and accuracy
    Implementing image pre and post processing operators, collaborating with the compiler team to troubleshoot compilation issues, and writing decoders that transform inference tensors to metadata for ease of use by application developers
    Integrating popular industry-standard model frameworks within the SDK to facilitate low-code and no-code deployment of many customer models and datasets
    Defining metadata representations for common types of models (such as bounding boxes and keypoints), creating libraries for evaluating deployed model accuracy on Axelera AI hardware and creating libraries for visually rendering inference results
    Optimizing end-to-end pipeline latency and throughput, root causing any bottlenecks arising on supported hardware platforms, and developing profiling tools to help customers more easily analyse and understand bottlenecks in their own pipelines
    Writing and maintaining comprehensive product documentation and sharing knowledge with team members, promoting best practices and continuous improvement
    BS/MS in Computer Science, Electrical Engineering or equivalent work experience in the semiconductor and/or AI industry

    Experience in AI application development using Python with ML libraries such as PyTorch and TensorFlow and familiar with techniques such as model quantization, compression and pruning
    Experience in embedded software development using languages such as C/C++, CUDA and OpenCL targeting concurrent and heterogeneous systems (familiarity with different hardware micro-architectures, threading and cache coherency issues)
    Experience with video-streaming frameworks such as GStreamer or computer vision libraries such as OpenCV a plus
    Proficient Linux skills
    Practical knowledge of agile development using tools such as Jira, Git and GitHub

    We offer a flexible working arrangement, with the option to work from or relocate near an Axelera AI office (Leuven in Belgium, Eindhoven in the Netherlands, Zurich in Switzerland, Milan in Italy or Bristol in the United Kingdom) or work fully remotely from any European country or Taiwan.

    We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.

    At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard.
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