Nvidia Senior Deep Learning Algorithm Engineer 

United States, Texas 

136980169

What you will be doing:

• Optimize deep learning models for low-latency, high-throughput inference.

• Convert and deploy models using frameworks such as TensorRT and TensorRT-LLM

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

• Collaborate with internal and external researchers to ensure seamless integration of models from training to deployment.

What we want to see:

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)

• 3+ years of professional experience in deep learning or applied machine learning.

• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs

• Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.

• Proficient in building and deploying models using PyTorch or TensorFlow in production-grade environments.

• Solid programming skillsin Python and C++

Ways to stand out from the crowd:

• Proven experience deploying LLMs or VLMs at scale in real-world applications.

• Hands-on experience with model optimization and serving frameworks, such as: TensorRT, TensorRT-LLM, vLLM, SGLang.