Senior GPU Architect — Graphics & Parallel Compute Lead

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara is seeking a Senior GPU Architect to lead and define architecture initiatives across graphics and parallel computing. You will design hardware features, develop algorithms, and build simulators to validate models.

The role requires an MS degree, 8+ years in GPU/CPU architecture, and strong coding in C, C++, Perl, and Python. You will work with a global team delivering high-performance computing platforms and equity opportunities.

Qualifications

• MS degree in CS/EE/CE or equivalent experience
• 8+ years in GPU/CPU architecture or equivalent
• Strong programming in C, C++, Perl and Python
• Background in computer architecture, graphics algorithms, parallel processing, or HPC

Responsibilities

• Design new hardware features for future graphics and parallel processing architectures.
• Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.
• Be knowledgeable about future parallel programming models and their impact to hardware.
• Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
• Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
• Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures.

Skills

C

C++

Perl

Python

GPU architecture

Graphics algorithms

Parallel processing

Education

MS in CS/EE/CE or equivalent

Job description

NVIDIA in Santa Clara is seeking a Senior GPU Architect to lead and define architecture initiatives across graphics and parallel computing. You will design hardware features, develop algorithms, and build simulators to validate models.

The role requires an MS degree, 8+ years in GPU/CPU architecture, and strong coding in C, C++, Perl, and Python. You will work with a global team delivering high-performance computing platforms and equity opportunities.