Állás részletei
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Cég neve
High Tech Engineering Center Kft.
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Munkavégzés helye
1052, Budapest, Szervita tér 8. -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- PYTHON DEBUGGING TESTING C C++ LINUX HARDWARE
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Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Főiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Building and optimizing inference pipelines for large-scale model serving
Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment
Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching
Optimizing and implementing core ML operators such as GEMMs, convolutions, and activations
Investigating and resolving issues through system-level debugging and performance analysis
Defining and applying practices for testing, deployment, and scaling AI systems
Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment
Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching
Optimizing and implementing core ML operators such as GEMMs, convolutions, and activations
Investigating and resolving issues through system-level debugging and performance analysis
Defining and applying practices for testing, deployment, and scaling AI systems
Requirements
BSc/MSc in Computer Science, Engineering, Mathematics, or related discipline
Strong programming skills in C/C++ or Python in Linux environments using common development tools
Solid knowledge of computer architecture, system software, and data structures
Hands-on experience implementing algorithms in high-level languages (C/C++/Python)
Exposure to specialized hardware such as GPUs, FPGAs, DSPs, AI accelerators and frameworks like OpenCL or CUDA
Experience designing or working with high-performance software systems
Solid knowledge of ML fundamentals
Experience in model serving frameworks such as Triton Inference Server, DeepSpeed Inference, vLLM
Experience with ML runtimes like ONNX Runtime, TVM, IREE, XLA
Experience deploying ML workloads across distributed systems
Experience implementing and optimizing ML operators and kernels with focus on vectorization and efficient execution
Experience in hardware-aware optimizations and performance tuning
2+ years of experience developing software targeting AI hardware
Strong programming skills in C/C++ or Python in Linux environments using common development tools
Solid knowledge of computer architecture, system software, and data structures
Hands-on experience implementing algorithms in high-level languages (C/C++/Python)
Exposure to specialized hardware such as GPUs, FPGAs, DSPs, AI accelerators and frameworks like OpenCL or CUDA
Experience designing or working with high-performance software systems
Solid knowledge of ML fundamentals
Experience in model serving frameworks such as Triton Inference Server, DeepSpeed Inference, vLLM
Experience with ML runtimes like ONNX Runtime, TVM, IREE, XLA
Experience deploying ML workloads across distributed systems
Experience implementing and optimizing ML operators and kernels with focus on vectorization and efficient execution
Experience in hardware-aware optimizations and performance tuning
2+ years of experience developing software targeting AI hardware
Nice-to-have
Contribution to open-source projects such as LLVM/MLIR, PyTorch, TensorFlow, ONNX Runtime, xDSL, IREE
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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