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Nvidia Senior Deep Learning Engineer Algorithms 
Poland, Masovian Voivodeship, Warsaw 
874272948

31.08.2025
Poland, Warsaw
Poland, Remote
Netherlands, Remote
UK, Remote
Switzerland, Remote
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

What you’ll be doing:

  • Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others)

  • Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities.

  • Analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms.

  • Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the design, usability and performance of workloads.

  • Lead best-practices for building, testing, and releasing DL software.

  • Contribute to creation of large scale benchmarking system, capable of testing thousands of models on vast diversity of hardware and software stacks.

What we need to see:

  • 3+ years of experience in DL model implementation and SW Development.

  • BSc, MS or PhD degree in Computer Science, Computer Architecture or related technical field.

  • Excellent Python programming skills.

  • Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required.

  • Strong problem solving and analytical skills.

  • Algorithms and DL fundamentals.

  • Docker containerization fundamentals.

Ways to stand out from the crowd:

  • Experience in performance measurements and profiling.

  • Experience with containerization technologies such as Docker.

  • GPU programming experience (CUDA or OpenCL) is a plus but not required.

  • Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development.

  • Experience with CI systems (preferably GitLab).