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!
What you'll be doing:
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.
What we need to see:
A BS or higher degree in a relevant field (CS, EE, Math) 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 from the crowd:
Experience with systems-level/architectural/chip modeling, profiling, and analysis.
Strong combined RTL and C++ skillset.
#LI-Hybrid
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.
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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Skills Required
- BS or higher in CS, EE, Math or equivalent experience
- 5+ years of relevant experience
- Expert programming and software skills in C++
- Experience in RTL design and/or architecture and understanding of common chip design concepts
- Automation-centered mindset
- Desire to improve work efficiency using AI
- Experience with systems-level/architectural/chip modeling, profiling, and analysis
- Strong combined RTL and C++ skillset
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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