Axelera AI · 19 hours ago
Senior/Staff Applications Engineer - Embedded AI
Axelera AI is a deep-tech startup focused on creating next-generation AI platforms. The role involves developing customer-facing components of the Voyager SDK, optimizing performance, and integrating various models for AI solutions.
AI InfrastructureArtificial Intelligence (AI)Machine LearningSemiconductorSoftware
Responsibilities
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
Qualification
Required
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
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
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
Preferred
Familiarity with model optimisation techniques such as quantization, compression and pruning a plus
Experience with MLIR and ONNXRuntime a plus
Benefits
Pension plan
Extensive employee insurances
Option to get company shares
Company
Axelera AI
Axelera AI develops purpose-built AI hardware acceleration technology for computer vision and generative AI applications.
Funding
Current Stage
Growth StageTotal Funding
$203.19MKey Investors
EuroHPC Joint UndertakingEIC Scaling ClubCDP Venture Capital
2025-03-06Grant· $66.49M
2024-06-27Series B· $68M
2024-03-28Non Equity Assistance
Leadership Team
Recent News
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2025-10-25
2025-10-24
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