Senior Architect, GPU & SoC Modeling & Simulation

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Architect for GPUs and SoCs to advance architecture modeling and validation across teams. You will collaborate with world-class architects to model, analyze, and validate chip architectures and features that push performance and efficiency.

You will develop tests, tooling, and frameworks, mentor engineers, and help drive adoption of new modeling techniques while contributing to the AI/Deep Learning centric NVIDIA roadmap.

Qualifications

• Bachelor’s or equivalent in Computer Science, Electrical or Computer Engineering with 8+ years relevant experience, MS with 5+ years or PhD with 2+ years.
• Strong programming ability in C/C++ with build systems and libraries.
• Background in computer architecture and modeling with SystemC/TLM is preferred.
• Familiarity with Docker, Jenkins, Python and Perl; excellent communication in distributed teams.

Responsibilities

• Modeling and analysis of graphics and SOC algorithms and features.
• Develop tools to analyze, simulate, validate, and verify models across teams.
• Familiarize with Nvidia models and assist feature implementation as required.
• Develop tests, test plans, and testing infrastructure for new architectures/features.
• Code coverage analysis and reporting.
• Mentor younger engineers and promote good coding practices.
• Learn newer modeling techniques and drive change with management.

Skills

C++

C

SystemC/TLM

Build systems (CMake, make)

GCC/MSVC

Excellent communication

Education

Bachelor’s degree in Computer Science, Electrical Engineering or Computer Engineering

MS with 5+ years of experience

PhD with 2+ years of experience

Tools

Docker

Jenkins

Python

Perl

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Architect for GPUs and SoCs to advance architecture modeling and validation across teams. You will collaborate with world-class architects to model, analyze, and validate chip architectures and features that push performance and efficiency.

You will develop tests, tooling, and frameworks, mentor engineers, and help drive adoption of new modeling techniques while contributing to the AI/Deep Learning centric NVIDIA roadmap.