Senior GPU Architect — Lead Next-Gen Graphics & HPC

NVIDIA; Westford (MA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior GPU Architect to lead and shape future graphics and parallel computing architectures. You will design hardware features, optimize algorithms, and build simulators to validate new ideas across RTL and silicon.

Collaborate with world-class researchers, implement high-performance graphics and computing capabilities, and contribute to new parallel programming models. Required: MS in CS/EE/CE and 8+ years in GPU/CPU architecture; strong C/C++, Python and Perl.

Qualifications

• MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• 8+ years of relevant industry experience in GPU or CPU architecture.
• Strong programming ability in C, C++, Perl and Python.
• Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.

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
• Be hungry to learn and work on simulators, RTL and real silicon.

Skills

C

C++

Perl

Python

Education

MS in Computer Science / Electrical Engineering / Computer Engineering

Job description

NVIDIA is seeking a Senior GPU Architect to lead and shape future graphics and parallel computing architectures. You will design hardware features, optimize algorithms, and build simulators to validate new ideas across RTL and silicon.

Collaborate with world-class researchers, implement high-performance graphics and computing capabilities, and contribute to new parallel programming models. Required: MS in CS/EE/CE and 8+ years in GPU/CPU architecture; strong C/C++, Python and Perl.