GPU Architect

Job Title

GPU Architect

Role Summary

Design and validate GPU Streaming Multiprocessor (SM) architecture, simulators, compilers and testing infrastructure to support AI and graphics workloads. The role works at the intersection of hardware and software to define architecture features, performance models, and verification tools for next-generation GPUs.

Experience Level

Mid-level — typically requires 3+ years of relevant experience in compilers, parallel programming, computer architecture, or a related field.

Responsibilities

Key responsibilities include architecture definition, modeling, and validation for GPU SMs, plus development of related tools and test infrastructure.

• Contribute to advancing GPU Streaming Multiprocessor (SM) architecture, simulators, compilers, and testing infrastructure.
• Model and describe architecture and compiler features for AI and graphics workloads.
• Develop test plans and testing infrastructure for next-generation GPU SMs.
• Create tools to validate performance models and verify functional models.
• Collaborate across hardware and software teams to integrate and evaluate features.

Requirements

Must-have technical skills and experience.

• 3+ years of relevant experience in compilers, parallel programming, computer architecture, or related field.
• Strong programming skills in C, C++, and Python.
• Strong understanding of compilers and core data structures.
• Ability to work effectively across hardware and software boundaries.

Nice-to-have:

• Experience with GPU compilers and architectural exploration.
• Background in CPU core architecture.
• Understanding of instruction set architectures (CPU ISA or GPU ISA).

Education Requirements

Master's or Bachelor's degree in Computer Science or Mathematics is stated; typically paired with 3+ years of relevant experience in compilers, parallel programming, computer architecture, or related fields.

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.