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Nvidia Senior Deep Learning Engineer Germany, North Rhine-Westphalia 542716066
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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
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)
Strong problem solving and analytical skills
Algorithms and DL 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.
Solid understanding of Linux environments
Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development.
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