System And Scheduling Architect – GPU

at Nvidia

📍 Santa Clara, United States

USD 124,000-241,500 per year

MIDDLE SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 3 GPU @ 3 Machine Learning NVLink @ 3 OpenGL @ 3 Perl @ 3 Python @ 3 Security @ 3 System Architecture @ 3

Details

We are now looking for a GPU system and process scheduling architect. NVIDIA is seeking outstanding system architects to design the next generation GPU system interface. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting the field of artificial intelligence and product lines ranging from consumer graphics to self-driving cars. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

Responsibilities

As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system
You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
Create functional and performance models, often in C++, along with test plans to validate the features you design
Actively support post-silicon validation activities
Constantly learning and growing!

Requirements

BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
2+ years of meaningful work experience
Work experience coding in C or C++
Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture

Ways to stand out from the crowd

Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, and/or CXL
Knowledge of Perl or Python

Applications for this job will be accepted at least until April 16, 2026.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.