Used Tools & Technologies
Machine LearningRequired Skills & Competences
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.
Security @ 3
Python @ 3
Perl @ 3
API @ 2
System Architecture @ 3
CUDA @ 2
GPU @ 3
AI @ 3
OpenGL @ 2
NVLink @ 3
- 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.
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. The team is distributed globally and works to push the frontiers of what is possible and define the platform of tomorrow.
Responsibilities
- Understand how GPU sub-system modules interoperate and interact with the overall system.
- 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.
- Continuously learn and grow.
Requirements
- BS or MS in Compute Architecture, Computer Science, 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, Operating Systems, and/or system architecture.
Preferred / Ways to Stand Out
- Knowledge of memory isolation and security, firmware, process scheduling.
- Familiarity with graphics and compute APIs/technologies such as OpenGL, DirectX (DX), CUDA.
- Experience or knowledge of DL/ML workloads.
- Knowledge of interconnects and bus protocols such as PCIe, AXI, NVLink, and/or CXL.
- Knowledge of scripting languages such as Perl or Python.
Compensation & Additional Information
- Base salary range:
- Level 2: 124,000 USD - 195,500 USD
- Level 3: 152,000 USD - 241,500 USD
- You will also be eligible for equity and benefits.
- Applications for this job will be accepted at least until April 14, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.
Note
- #LI-Hybrid