Deep Learning Performance Architect
NVIDIAJob Title
Deep Learning Performance Architect
Role Summary
Work on performance modeling, analysis, and optimization for deep learning workloads (including large language models) on state-of-the-art NVIDIA hardware. The role supports processor and system architecture decisions by providing analytical models, prototypes, and performance insight.
Collaborate with architecture, software, and product teams to influence next-generation inference products and improve performance, power, and efficiency.
Experience Level
Mid-level; requires 5+ years of relevant industry experience.
Responsibilities
Primary responsibilities focus on analyzing models and defining hardware/software tradeoffs to improve DL inference performance.
- Analyze state-of-the-art deep learning networks (LLMs and related models) and identify performance optimization opportunities.
- Prototype performance improvements and communicate findings to software and architecture teams.
- Develop analytical and algorithmic models to guide processor and system architecture design for performance and efficiency.
- Specify hardware/software configurations and define metrics to evaluate performance, power, and accuracy for uni- and multi-processor setups.
- Collaborate across architecture, software, and product teams to shape next-generation HW/SW directions.
Requirements
Must-haves focused on technical experience and relevant tools.
- 5+ years of professional experience in performance analysis, systems, or related roles.
- Experience with popular AI models (for example, LLMs and AIGC models).
- Familiarity with deep learning frameworks such as PyTorch, JAX, TensorFlow, and TensorRT.
- Practical knowledge of hardware architectures for deep learning workloads and experience evaluating HW/SW tradeoffs.
Education Requirements
BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related technical field — or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
