Deep Learning Performance Architect - College Graduate

Position: Deep Learning Performance Architect - New College Graduate 2026
Job Summary
:
NVIDIA is looking for a Deep Learning Performance Architect to contribute to the development of next-generation architectures that accelerate AI and high-performance computing applications. The role involves developing innovative architectures, analyzing performance trade-offs, and collaborating with various teams to guide deep learning hardware and software direction.

Responsibilities
:

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency

• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

• Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers

• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

Qualifications
:
Required
:

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience

• Strong background in GPU or Deep Learning ASIC architecture for training and/or inference

• Experience with performance modeling, architecture simulation, profiling, and analysis

• Solid foundation in machine learning and deep learning

• Strong programming skills in Python, C, C++

Preferred
:

• Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, Tensor

RT)

• Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL

• Experience with the architecture of or workload analysis on other DL accelerators

• Demonstration of self-motivation, with a knack for critical thinking and thinking outside the box

Company
:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.