Deep Learning Algorithms Engineer - ACOT

About this role

NVIDIA is seeking a motivated AI Acceleration & Optimization Engineer to join our Acceleration Computing, Optimization and Tools (ACOT) team. In this role, you will help improve the performance, scalability, and efficiency of modern AI models across NVIDIA GPU platforms. You will work with engineers across algorithms, systems, and hardware to support high-performance model deployment and development for real-world AI workloads

As part of ACOT, you will collaborate with architecture, research, CUDA, compiler, and framework teams to help bring next-generation AI workloads from research to production with strong performance and reliability. What you will be doing Assist in optimizing AI models such as LLMs, VLMs, diffusion models, and multimodal models for inference and training on NVIDIA GPUs. Profile workloads and help identify performance bottlenecks across GPU compute, memory, networking, and storage

Support the development and integration of optimization techniques such as quantization, kernel fusion, parallelism, and memory efficiency improvements. Use tools including CUDA, TensorRT, Nsight, and NVIDIA acceleration libraries to analyze and improve model performance. Work with deep learning frameworks including PyTorch, JAX, and TensorFlow, as well as open-source inference frameworks like vLLM and SGLang

Contribute to performance benchmarking, testing, and internal tooling to improve optimization workflows. Partner with senior engineers and multi-functional teams to evaluate workload behavior and support future performance improvements. What we want to see Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)

2–4 years of experience, or strong academic/project experience, in deep learning, performance engineering, systems, or high-performance computing. Good understanding of deep learning fundamentals and modern AI model architectures, especially transformers. Familiarity wi

Apply for this role on NVIDIA’s official careers site.