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Edge AI Engineer(m/w/x)
Description
You will bridge the gap between research and production by optimizing high-performance AI models for edge devices, ensuring hardware-accelerated pipelines remain fast and secure.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong proficiency in Python
- •Expert-level knowledge of C/C++
- •Familiarity with Rust or C
- •In-depth understanding of model optimizations
- •Hands-on experience with PyTorch
- •Experience with ONNX Runtime
- •Experience with embedded platforms
- •Proficient knowledge of Embedded Linux
- •Exceptional problem-solving skills
- •Ability to work independently
Education
Tasks
- •Deploy and scale AI models across diverse hardware fleets
- •Optimize models for edge runtimes using quantization and pruning
- •Develop robust architectures for real-time data processing
- •Optimize CUDA kernels specifically for xLSTM architectures
- •Manage hardware resources for ultra-low latency inference
- •Profile and debug performance bottlenecks across the stack
- •Collaborate with researchers to build scalable AI architectures
- •Prioritize data privacy and system integrity at the edge
- •Manage complex data flows and end-to-end security mechanisms
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Market-aligned salary package
Other Benefits
- •Individual benefits
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Edge AI Engineer(m/w/x)
The AI Job Search Engine
Description
You will bridge the gap between research and production by optimizing high-performance AI models for edge devices, ensuring hardware-accelerated pipelines remain fast and secure.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong proficiency in Python
- •Expert-level knowledge of C/C++
- •Familiarity with Rust or C
- •In-depth understanding of model optimizations
- •Hands-on experience with PyTorch
- •Experience with ONNX Runtime
- •Experience with embedded platforms
- •Proficient knowledge of Embedded Linux
- •Exceptional problem-solving skills
- •Ability to work independently
Education
Tasks
- •Deploy and scale AI models across diverse hardware fleets
- •Optimize models for edge runtimes using quantization and pruning
- •Develop robust architectures for real-time data processing
- •Optimize CUDA kernels specifically for xLSTM architectures
- •Manage hardware resources for ultra-low latency inference
- •Profile and debug performance bottlenecks across the stack
- •Collaborate with researchers to build scalable AI architectures
- •Prioritize data privacy and system integrity at the edge
- •Manage complex data flows and end-to-end security mechanisms
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Market-aligned salary package
Other Benefits
- •Individual benefits
About the Company
NXAI
Industry
IT
Description
The company is an Austrian AI research company focused on next-generation xLSTM models and their industrial applications.
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