Senior GPU Architect

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
44 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $236k
$154k most similar roles pay here $302k

This role pays more than 84% 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior GPU Architect

Join NVIDIA’s world-class team as a Senior GPU Architect where you will drive the development of cutting-edge GPU technology by innovating and improving architecture to optimize for scalability, performance, and yield. You’ll develop chip design infrastructure, including functional models and testing tools, while collaborating across various teams to validate choices against performance, cost, and scalability targets. Essential skills include proficiency in C++ and Python, a strong background in computer architecture, and experience with GPU or CPU system architecture development. Ideal candidates have at least 10 years of relevant industry experience and a deep understanding of system-level functions such as reset and boot, DFT, and network-on-chip (NoC) interconnects.

What you'll do

  • Develop GPU architecture innovations focusing on scalability, performance, and yield.
  • Enhance chip design infrastructure by creating functional models and yield simulators.
  • Create tests and test plans to evaluate new architectures under various constraints.
  • Work with modeling teams to optimize chip yield and performance through tool development.
  • Document and maintain functional, performance, and yield models for GPU architectures.
  • Collaborate with ASIC design, software, and VLSI teams to explore trade-offs and define solutions.

What we're looking for

  • Bachelor’s/Master’s/PhD in Computer Engineering or related field (or equivalent experience).
  • At least 10 years of work experience in GPU/CPU system architecture development.
  • Proficient programming skills in C++ and Python.
  • Strong background in computer architecture with modeling experience.
  • Excellent problem-solving, debugging, and communication skills.
  • Experience with GPU architecture and Network-on-Chip (NoC)/Interconnect.

More like this

Similar roles

Senior GPU Architect

Nvidia

Santa Clara, CA 67 days ago $184,000$287,500
C C++ Perl Python GPU CPU Computer Architecture Graphics Algorithms Parallel Processing Signal Processing High Performance Computing Databases

Senior System Architect, GPU

Nvidia

Remote (Santa Clara, CA) 148 days ago $184,000$287,500
Python Excel GPU CPU AI Data_center_requirements Performance_bottlenecks TCO Power_Delivery_Network DC_Networking Off_chip_IO Memory_subsystem Network_on_Chip Reset_and_boot DFT Power_management Modern_packaging_technologies
Remote

Principal System Architect, GPU

Nvidia

Remote (Santa Clara, CA) 23 days ago $272,000$431,250
SoC GPU AI RTL Verification Physical_design Firmware Software Memory_architecture Power_management High-level_programming_languages Silicon_bring-up Debugging Documentation Networking Multi-GPU_systems Packaging_technologies AI_workload_characteristics CI/CD
Remote

Senior GPU Architect, Deep Learning

Nvidia

Santa Clara, CA 148 days ago $184,000$287,500
C C++ Perl Python CUDA TensorFlow PyTorch NVIDIA_GPU_Architecture Deep_Learning Parallel_Computing Computer_Architecture CI/CD MESOS Kubernetes Docker Prometheus Grafana PostgreSQL Redis

Senior GPU Memory Architect

Nvidia

Santa Clara, CA 148 days ago $184,000$287,500
C C++ Python pandas GPU CPU memory systems network on chip parallel computing datacenter architecture large scale interconnect architecture AI tools performance modeling frameworks

Senior Applied Power Architect - GPU

Nvidia

Santa Clara, CA 148 days ago $168,000$264,500
Python Pandas NumPy PyTorch AWS Kubernetes CI/CD Docker Git Linux PostgreSQL JIRA Confluence Power Integrity Analysis PDN Design Electrical Engineering ASIC Design Thermal Management Multi-Die Technologies V-F Tradeoffs