Nvidia Senior Deep Learning Engineer 

Germany, North Rhine-Westphalia 

542716066

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.