Used Tools & Technologies
Not specified
Required 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.
Algorithms @ 4
Data Structures @ 4
Mathematics @ 6
LLM @ 4
Deep Learning @ 4
AI @ 4
Profiling @ 4
- 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 Senior Deep Learning Hardware Modeling Architect!
NVIDIA seeks a Senior DL Hardware Modeling Architect to join our group of pioneers who are pushing the performance boundaries of AI inference. Our team focuses on ambitious hardware-software co-design to optimize AI inference speed and efficiency. This role gives an outstanding opportunity to model critical components of our world-class LLM inference solutions. If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you!
Responsibilities
- Drive architectural specifications to closure across multiple stakeholders.
- Develop written specifications for key component-level and system-level designs.
- Embody specifications in an executable model used by many customers across NVIDIA.
- Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism.
- Resolve performance and correctness issues across chip and hardware subsystems by working across teams.
Requirements
- A BS or higher degree in a relevant field (Computer Science, Electrical Engineering, Mathematics) or equivalent experience, with 5+ years of relevant experience.
- Expert programming and software skills in C++.
- Experience in RTL design and/or architecture with the ability to understand common chip design concepts.
- An automation-centered mindset.
- A desire to improve work efficiency using AI.
Ways to Stand Out
- Experience with systems-level/architectural/chip modeling, profiling, and analysis.
- Strong combined RTL and C++ skillset.
Compensation & Other Details
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
- You will also be eligible for equity and benefits.
- #LI-Hybrid
- Applications for this job will be accepted at least until June 8, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of protected characteristics under applicable law.