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.

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

Senior/Staff Applications Engineer – Embedded AI

Key skills