Six Figure Work

Senior Software Engineer - CUDA and Unified Memory

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more

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  • LocationSanta Clara, CA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (13 min ago) · observed since
All places named
  • Santa Clara, CA
  • Austin, TX

About this job

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality!  

CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features.  

What you'll be doing:  

As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!  

  • Architect, and implement new features for new chips and new kernel features  

  • Coordinate with other teams to accomplish your work daily  

  • Help define forward-looking improvements to the CUDA APIs and programming model  

  • Write effective, maintainable, and well-tested kernel and userspace code  

  • Develop code for multiple Linux operating systems  

What we need to see:  

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)  

  • Strong C programming skills

  • Minimum of 10+ years of related development experience  

  • Experience working with large codebases  

  • Background with operating system interfaces for threads, process control, and virtual memory  

  • Experience writing and debugging multithreaded programs  

  • Good written communication

Ways to stand out from the crowd:  

  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO 

  • Knowledge of memory coherence and consistency models  

  • Experience with kernel mode development  

  • Experience with Windows, Linux, or macOS driver development  

  • Some familiarity w C++​

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:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

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 ($184,000) is above 56% of the 4,309 Software Engineering roles in California listed on this site; 128 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $202,000.

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 range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Software Engineer - CUDA and Unified Memory (this listing)$184,000 - $356,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Absent from the employer's board; confirmation pending
  4. Closure observed on Nov 2, 2026
  5. Reappeared on the employer's board
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara • US, TX, Austin (Levels 4-5 combined)

184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

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.