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
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- HARDWARE TESTING C C++ PYTHON LINUX DEBUGGING SOFTWARE TESTING
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Biztosított eszközök
- Linux
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Elvárások
- Nem kell nyelvtudás
- 3-5 év tapasztalat
- Főiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms
Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels)
Translate computational graphs from ML frameworks onto the underlying hardware
Contribute to compiler infrastructure together with compiler and hardware teams
Investigate and resolve issues through system-level debugging and performance analysis
Deliver scalable software solutions under ambitious development schedules
Define and apply practices for testing, deployment, and scaling AI systems
Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels)
Translate computational graphs from ML frameworks onto the underlying hardware
Contribute to compiler infrastructure together with compiler and hardware teams
Investigate and resolve issues through system-level debugging and performance analysis
Deliver scalable software solutions under ambitious development schedules
Define and apply practices for testing, deployment, and scaling AI systems
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline
3+ years of professional software development experience
Solid knowledge of computer architecture, system software, data structures
Strong programming skills in C/C++ or Python in Linux environments using common development tools
Hands-on experience implementing algorithms in high-level languages (C/C++/Python)
Exposure to specialized hardware (GPUs, FPGAs, DSPs, AI accelerators) and frameworks such as OpenCL or CUDA
Experience designing or working with high-performance software systems
Solid knowledge of ML fundamentals
Motivated team player with a strong sense of responsibility
Experience in at least one of the following areas: Model serving frameworks (e.g., Triton Inference Server, DeepSpeed Inference, vLLM), Deep learning frameworks (e.g., PyTorch, TensorFlow), ML runtimes (e.g., ONNX Runtime, TVM, IREE, XLA), Distributed collectives (e.g., Gloo, MPI), Software testing and validation methodologies, Deploying ML workloads (LLMs, VLMs, NLP, etc.) across distributed systems, Implementation of ML operators and kernels (e.g., SIMD routines, Activation functions, Pooling layers, Quantization layers), Hardware-aware optimizations and performance tuning
2+ years of experience developing software targeting AI hardware
3+ years of professional software development experience
Solid knowledge of computer architecture, system software, data structures
Strong programming skills in C/C++ or Python in Linux environments using common development tools
Hands-on experience implementing algorithms in high-level languages (C/C++/Python)
Exposure to specialized hardware (GPUs, FPGAs, DSPs, AI accelerators) and frameworks such as OpenCL or CUDA
Experience designing or working with high-performance software systems
Solid knowledge of ML fundamentals
Motivated team player with a strong sense of responsibility
Experience in at least one of the following areas: Model serving frameworks (e.g., Triton Inference Server, DeepSpeed Inference, vLLM), Deep learning frameworks (e.g., PyTorch, TensorFlow), ML runtimes (e.g., ONNX Runtime, TVM, IREE, XLA), Distributed collectives (e.g., Gloo, MPI), Software testing and validation methodologies, Deploying ML workloads (LLMs, VLMs, NLP, etc.) across distributed systems, Implementation of ML operators and kernels (e.g., SIMD routines, Activation functions, Pooling layers, Quantization layers), Hardware-aware optimizations and performance tuning
2+ years of experience developing software targeting AI hardware
Nice-to-have
Contribution to open-source projects (e.g., LLVM, PyTorch, TensorFlow, ONNX Runtime, xDSL, IREE) is a big plus.
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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