Senior Deep Learning Hardware Modeling Architect - LPU
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in California +2 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCalifornia +2 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (24 min ago) · observed since
All places named
- California
- Texas
- Massachusetts
About this job
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 other objective job-related factors. The expected base salary ranges for this position are: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.
Applications for this job will be accepted at least until November 3, 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 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.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($152,000) is above 21% of the 1,514 Data & ML roles in California listed on this site; 20 others list the same floor. Their median floor is $187,500; the middle half runs from $159,200 to $229,375.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior Deep Learning Hardware Modeling Architect - LPU$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 to $235,750
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Deep Learning Hardware Modeling Architect - LPU (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Senior Product Quality Engineer, Board – Automotive | $148,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS | $148,000 - $235,750 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Remote • US, TX, Remote • US, MA, Remote (Levels 3-4 combined)
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.