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
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
We are looking for a GPU System and Scheduling Architect - New College Grad to design the next generation of our GPU system interface.
Responsibilities
- Understand how the 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
- Recently completed a BS, MS, or PhD in Computer Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience.
- Strong coding proficiency in C or C++.
- Exposure to post-silicon validation activities.
- Coursework or industry experience in Computer Architecture, Operating Systems, and/or system architecture.
Ways to Stand Out
- Knowledge of memory isolation and security, firmware, process scheduling.
- Experience or familiarity with graphics and compute APIs/technologies: OpenGL, DirectX (DX), CUDA.
- Familiarity with DL/ML concepts.
- Knowledge of interconnects and protocols: PCIe, AXI, NVLink, CXL.
- Knowledge of scripting languages such as Perl or Python.
Compensation & Benefits
- Base salary will be determined based on location, experience, and the pay of employees in similar positions.
- Base salary ranges provided: 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.
- You will also be eligible for equity and benefits (link to NVIDIA benefits page).
Additional Information
- Applications for this job will be accepted at least until May 14, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate 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.