Senior GPU Architect, Profiling System
Location: Stanford
Posted on: June 23, 2025
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Job Description:
We are now looking for a Senior GPU Architect, Profiling System!
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC
gaming market, redefined modern computer graphics, and
revolutionized parallel computing. More recently, GPU deep learning
ignited modern AI — the next era of computing — with the GPU acting
as the workhorse that powers intelligent applications in a
multitude of domains and computing environments. At NVIDIA,
performance is at the core of everything we do. We pride ourselves
on not only building the world’s fastest processors, but also on
providing a full ecosystem that empowers engineers and developers
to realize that performance in practice. NVIDIA’s GPU Architecture
Group is looking for architects to contribute to the design of our
proprietary profiler subsystem, the apparatus embedded in every GPU
that enables our profiling and monitoring tools to capture data and
provide feedback for performance optimization. As a member of our
team, you will need to combine skills in hardware modeling and
verification with a deep understanding of GPU architecture,
operating systems, and application performance analysis to innovate
new methods of hardware profiling that yield more meaningful and
accessible performance insights. You will have a tangible impact at
a fast-paced company that is spearheading the next wave in
computing technology. Join our technically diverse team of GPU
architects, software engineers and infrastructure experts to push
the boundaries of computing performance! What you’ll be doing:
Architect and plan features in concert with software, hardware, and
verification teams working across the globe to implement the next
generation GPU profiling features. Build functional and performance
models to refine and verify hardware designs. Create test plans to
validate the features you design and contribute to their
implementation. Constantly develop your skills for practical
innovation by improving your understanding of the application
analysis process, the GPU architecture, and the profiling software
stack. What we need to see: Masters, or PhD in relevant field (Eg:
Computer Science, Computer Engineering or Electrical Engineering)
or equivalent experience. 3 years of relevant computer
architecture, ASIC design, and/or software development experience.
Strong programming skills in C++ (or similar) and Python (or
similar). Solid foundation in computer architecture and hardware
performance analysis. Experience with performance modeling and
hardware simulation, ideally using SystemC. Strong communication
and interpersonal skills including the ability to work with a
distributed interdisciplinary team. Ways to stand out from the
crowd: Expertise in developing and optimizing parallel algorithms,
particularly using GPUs. Extensive experience as a user or
developer of CPU or GPU profiling tools. Background with 3D
graphics, deep learning, and/or high-performance computing
applications Experience contributing to and debugging large
codebases with many developers. NVIDIA is widely considered to be
one of the technology world’s most desirable employers. We have
some of the most forward-thinking and hardworking people on the
planet working for us. If you're creative and autonomous, we want
to hear from you! The base salary range is 148,000 USD - 287,500
USD. Your base salary will be determined based on your location,
experience, and the pay of employees in similar positions. You will
also be eligible for equity and benefits . NVIDIA accepts
applications on an ongoing basis. NVIDIA is committed to fostering
a diverse work environment and proud to be an equal opportunity
employer. As we highly value diversity in our current and future
employees, we do not discriminate (including in our hiring and
promotion practices) on the basis of race, religion, color,
national origin, gender, gender expression, sexual orientation,
age, marital status, veteran status, disability status or any other
characteristic protected by law.
Keywords: , Woodland , Senior GPU Architect, Profiling System, IT / Software / Systems , Stanford, California