Senior Deep Learning Hardware Modeling Architect - LPU
NVIDIAJob Title
Senior Deep Learning Hardware Modeling Architect - LPU
Role Summary
Join NVIDIA's team optimizing AI inference hardware-software co-design for large language model (LLM) inference. The role focuses on modeling critical hardware components, producing executable C++ models, and driving component and system architectural specifications to improve inference performance and efficiency.
Experience Level
Senior level. Requires 5+ years of relevant experience.
Responsibilities
Key responsibilities include specification, modeling, and performance engineering of hardware components and systems.
- Drive architectural specifications to closure across multiple stakeholders.
- Produce component-level and system-level design specifications in writing.
- Implement and maintain executable C++ models used across NVIDIA.
- Optimize model performance using strong algorithms, data structures, and parallelism.
- Diagnose and resolve performance and correctness issues across chip and hardware subsystems by collaborating with teams.
Requirements
Must-have technical skills and experience.
- 5+ years of relevant experience.
- Expert-level C++ programming and software engineering skills.
- Experience with RTL design and/or architecture and an ability to understand common chip design concepts.
- Automation-centered mindset and strong engineering discipline.
- Willingness to apply AI to improve work efficiency.
Nice-to-have:
- Experience with systems-level/architectural/chip modeling, profiling, and analysis.
- Strong combined RTL and C++ skillset.
Education Requirements
BS or higher 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.
