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Edge AI Engineer(m/w/x)
Optimizing xLSTM AI models for edge runtimes on diverse hardware, including CUDA kernel development for industrial applications. Expert C/C++ and strong Python proficiency required, plus PyTorch and model optimization experience. Focus on next-generation xLSTM models for industrial applications.
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
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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
Benefits
Competitive Pay
- Market-aligned salary package
Other Benefits
- Individual benefits
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Edge AI Engineer(m/w/x)
Optimizing xLSTM AI models for edge runtimes on diverse hardware, including CUDA kernel development for industrial applications. Expert C/C++ and strong Python proficiency required, plus PyTorch and model optimization experience. Focus on next-generation xLSTM models for industrial applications.
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
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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
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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