Staff/Principal Software Engineer – AI Applications

🔥 21 hours ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 13%

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Logo of Axelera AI

Axelera AI

51 - 200 employees

Founded 2021

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

Axelera AI is a leading provider of AI hardware acceleration technology tailored for generative AI and computer vision inference. The company offers advanced AI processing units designed to integrate seamlessly into innovations, focused on delivering high-performance, cost-effective, and energy-efficient AI solutions. Axelera AI's flagship product, the Metis AI Processing Unit, accelerates inference at the edge, making it ideal for applications like video analysis and multi-channel video analytics. The company is recognized for its deep tech innovations and is actively contributing to the advancement of AI by providing state-of-the-art AI acceleration capabilities for edge computing.

📋 Description

• Own the end-to-end technical strategy for a major area of the Voyager SDK application layer • Translate research papers, open-source repositories and product requirements into a roadmap for model deployment, pipeline development and application integration • Set technical direction for image pre/post-processing operators and decoders • Create reusable architectures and partner with the compiler team on difficult compilation issues • Drive integration of industry-standard model frameworks into the SDK • Define reusable libraries and architecture for low-code and no-code deployment of models and datasets • Define company-wide metadata representations for model types such as bounding boxes and keypoints • Own libraries for evaluating deployed model accuracy and visually rendering inference results on Axelera AI hardware • Take accountability for pipeline latency and throughput across supported hardware platforms • Root-cause bottlenecks and build profiling tools and frameworks for diagnosing performance issues • Represent the Applications team's technical capabilities to business stakeholders, customers and industry • Mentor and develop engineers • Drive documentation standards and best practices across the team • Help shape the Applications team's technical roadmap with commercial and product stakeholders

🎯 Requirements

• BS/MS in Computer Science, Electrical Engineering or equivalent • Typically 8+ years of hands-on experience in the semiconductor and/or AI industry • Deep, hands-on expertise with edge deployment frameworks such as OpenVINO or TensorRT • Experience with GPU computing APIs such as OpenCL and Vulkan • Strong track record applying quantization, compression and pruning • Expert-level AI application development using Python • Extensive experience with ML libraries such as PyTorch and TensorFlow • Expert-level proficiency in Python/C++ • Ability to architect, build and deploy end-to-end pipelines with quantized models at scale • Experience creating reusable frameworks • Experience training models using transfer learning • Experience with MLIR and ONNXRuntime a plus • Sound technical judgement under pressure on complex, multi-dimensional problems • Strong communication and influencing skills • Experience with high-stakes conversations with senior technical and business stakeholders • Experience representing technical work externally to customers or industry • Experience mentoring and developing other engineers • Proficient Linux skills • Practical knowledge of agile development using Jira, Git and GitHub • Self-motivated and able to set technical direction with significant autonomy • Ability to thrive in a fast-paced, collaborative startup environment

🏖️ Benefits

• Pension plan • Extensive employee insurances • Option to get company shares • Flexible working arrangement • Remote work from any European country (including the UK) • Relocation support to Italy or the Netherlands • Open culture supporting creativity and continual innovation • Collaborative ownership and freedom with responsibility • Equal-opportunity and inclusive work environment

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