Állás részletei

Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül. Visszavonom
A hirdetés adatait sikeresen elküldte az email címére.

Állás leírása

Responsibilities

  • Building and optimizing inference pipelines for large-scale model serving (LLMs and beyond)
  • Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
  • Implementing and optimizing ML models using techniques such as quantization (INT8/FP8), kernel fusion, and efficient batching
  • Optimizing and implementing core ML operators (e.g., GEMMs, convolutions, 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, data structures
  • 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)
  • Experience in ML runtimes (e.g., ONNX Runtime, TVM, IREE, XLA)
  • Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) across distributed systems
  • Experience implementing and optimizing ML operators and kernels with a focus on vectorization and efficient execution (e.g., activation, pooling, quantization)
  • 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 (e.g., LLVM/MLIR, 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.
Jelentkezem a cégnél – AI Inference Engineer

Álláshirdetés jelentése
Jelentkezem a cégnél – AI Inference Engineer
login