Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
Benefits
Attraktive Vergütung
- Market-aligned salary package
Sonstige Vorteile
- 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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C
- C++
- Rust
- TensorRT
- PyTorch
- ONNX Runtime
- Google Coral
- NVIDIA Jetson
- ARM
- SIMD
- NEON
- AMD ROCm
- Linux
- Yocto
- Ubuntu
Benefits
Attraktive Vergütung
- Market-aligned salary package
Sonstige Vorteile
- Individual benefits
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
NXAI
Branche
IT
Beschreibung
The company is an Austrian AI research company focused on next-generation xLSTM models and their industrial applications.
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