Senior System and Scheduling Architect – GPU

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
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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 @ 4 Deep Learning @ 4 GPU @ 4 Machine Learning @ 4 NVLink @ 4 OpenGL @ 4 Perl @ 4 Python @ 4 Security @ 4 System Architecture @ 4

Details

NVIDIA is seeking a senior GPU system and process scheduling architect to design the next generation of GPU system interfaces. The role involves working at the intersection of software, hardware, and verification to advance GPU architectures supporting artificial intelligence, consumer graphics, and self-driving vehicles.

Responsibilities

Understand how GPU subsystem modules interoperate and interact with the overall system.
Architect and plan features in collaboration with software, hardware, and verification teams globally.
Create functional and performance models, often in C++, along with test plans to validate designed features.
Actively support post-silicon validation activities.
Continuously learn and grow while contributing to next-generation GPU technology.

Requirements

Bachelor's or master's degree in Compute Architecture, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
At least 5 years of meaningful work experience.
Experience coding in C or C++.
Coursework or industry experience in computer architecture, operating systems, and/or system architecture.

Preferred Qualifications

Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DirectX, CUDA, deep learning and machine learning, PCIe, AXI, NVLink, and/or CXL.
Knowledge of Perl or Python.

Benefits

Equity and employee benefits are provided.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.
Applications will be accepted at least until October 27, 2026.
This posting is for an existing vacancy.