Join our dynamic team as a senior computer architect to drive the design of next-generation GPU memory systems and on-chip interconnects. You will define innovative features, develop performance models, and evaluate test cases to ensure robust integration while collaborating with multi-disciplinary teams to translate product requirements into architectural solutions. Ideal candidates possess extensive experience in CPU/GPU architecture, memory systems, and network-on-chip design, along with strong programming skills in C/C++ and Python. A background in parallel computing, datacenter architecture, or large-scale interconnects is beneficial, as well as expertise in data analysis using tools like pandas and AI-driven code development and validation. This role offers the chance to make a significant impact in a fast-paced environment focused on cutting-edge technology advancements.
Skills
C
C++
Python
pandas
GPU
CPU
memory systems
network on chip
parallel computing
datacenter architecture
large scale interconnect architecture
AI tools
performance modeling frameworks
What you'll do
Define innovative features for next-generation GPU memory and on-chip interconnect subsystems.
Develop and refine performance models to evaluate architectural choices and predict subsystem behavior.
Analyze benchmarks and application workloads to identify areas for architecture optimizations.
Evaluate test cases to validate performance models and ensure robust feature integration.
Collaborate with engineering teams to translate product requirements into architectural solutions.
What we're looking for
Bachelor’s degree (or equivalent) with 8+ years or MS/PhD with relevant experience in computer engineering/science.
Deep understanding of CPU/GPU architecture, memory systems, and network on-chip design.
Strong programming skills in C/C++, Python, and other scripting languages for large-scale software projects.
Expertise in data analysis, visualization using tools like pandas, and performance modeling frameworks.
Experience with AI tools for code development, validation, and analysis in high-performance computing environments.
Excellent communication skills for collaboration across multi-disciplinary engineering teams.
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $206k
This role $236k
$153k
most similar roles pay here
$302k
This role pays more than
78%
of similar roles. Most pay
$177,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.