Senior Deep Learning Performance 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 +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCalifornia +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 min ago) · observed since
All places named
- California
- Texas
About this job
We are now looking for a Senior Deep Learning Performance Architect!
NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you!
What you'll be doing:
Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
Construct, investigate, and test popular deep learning algorithms and applications
Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
Collaborate across the company to guide the direction of AI, working with software, research, and product teams
What we need to see:
A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
Strong mathematical foundation in machine learning and deep learning
Expert programming skills in C, C++, and/or Python
Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack
Strong knowledge and coursework in computer architecture
Ways to stand out from the crowd:
Background with systems-level performance modeling, profiling, and analysis
Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results
Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware
#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 1,505 Data & ML roles in California listed on this site; 20 others list the same floor. Their median floor is $189,721; the middle half runs from $160,000 to $229,900.
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 6, 2026.
This listingSenior Deep Learning Performance Architect - LPU$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 to $287,500
Senior Graphics Driver Engineer$152,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Deep Learning Performance Architect - LPU (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
| Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure | $152,000 - $287,500 |
| Senior Graphics Driver Engineer | $152,000 - $241,500 |
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 (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.