Hybrid Senior/Staff Applications Engineer – Embedded AI

at Axelera AI

• Job title: Senior/Staff Applications Engineer – Embedded AI
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Linux, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Belgium

About the role

• Applications Engineer responsible for developing the customer-facing components of Axelera AI’s Voyager SDK. Working on low-code model deployment and end-to-end pipeline development.

Responsibilities

• 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.
• 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.
• Help scale the product to support a wider range of models, pipelines and end-customer use cases.
• Compiling high-level graphical representations of ML-based pipelines, optimizing memory usage and synchronization on heterogeneous hardware targets.
• 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.
• Integrating popular industry-standard model frameworks within the SDK to facilitate low-code and no-code deployment of many customer models and datasets.

Requirements

• BS/MS in Computer Science, Electrical Engineering or equivalent work experience in the semiconductor and/or AI industry
• Proven hands-on experience with edge deployment frameworks such as OpenVINO or TensorRT
• Familiarity with model optimisation techniques such as quantization, compression and pruning a plus
• Proficiency in AI application development using Python, with extensive experience in ML libraries such as PyTorch and TensorFlow
• Demonstrated ability to build and deploy end-to-end pipelines with quantized models
• Experience in training models using transfer learning to leverage pre-trained models for new tasks
• Experience with MLIR and ONNXRuntime a plus
• Strong problem-solving skills and an ability to troubleshoot and debug complex multi-dimensional problems
• Proficient Linux skills
• Practical knowledge of agile development using tools such as Jira, Git and GitHub
• Self-motivated with the ability to thrive in a fast-paced collaborative startup environment

Benefits

• attractive compensation package
• pension plan
• extensive employee insurances
• option to get company shares