Senior Architect, Camera ISP
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
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (30 min ago) · observed since
About this job
NVIDIA is an innovative technology company committed to advancing camera technologies. We drive AI and computer vision innovation and improve visual data quality for various Physical AI uses, including autonomous vehicles, robots, and smart cities. We are looking for creative, dedicated, and highly motivated individuals to join us in making a lasting impact in the world.
As Senior Architect, Camera ISP, you will have the opportunity to push the boundaries of camera imaging technologies for both human and machine vision systems. Join us to build the next-generation camera imaging technology and enable a safe, smart, and fun future!
What you'll be doing:
Contribute to the build and development of world-class ISP to meet the ambitious performance and quality standards of NVIDIA's autonomous driving and robotics applications
Apply your expertise to drive continuous improvement and innovation in image processing algorithms and architectures including SOTA deep learning methods to achieve unprecedented image quality and camera usability
Engage with new camera application areas including Vision-Language-Action AI to understand needs and constraints, and discover opportunities to innovate ISP
Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, hardware engineers, and software teams
Represent new and existing NVIDIA ISP capabilities to internal groups, partners, and customers
What we need to see:
A Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field
10+ years of proven experience in ISP architecture and imaging science for automotive, robotics, surveillance, and consumer cameras
Strong foundation in human- and machine-centric image quality assessment and algorithm complexity analysis
Proficiency in C/C++, MATLAB, Python, DL framework (PyTorch, TensorFlow)
Excellent communication skills for productive personal interactions as well as for effective documentation and presentation
Ways to stand out from the crowd:
Ph.D. in relevant field or equivalent experience
Deep expertise in image science covering optics, HDR image sensors, and color/tone management
Experience in developing and successfully deploying deep learning-based ISP technologies in real-time camera systems
Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems
Track record in building a culture of imaging excellence based on first principles and attention to detail through mentorship, teaching, and personal examples
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world doing lifeworks for us. Do you love the challenge of crafting the smartest, fastest, and most efficient ISP solutions? If so, we want to hear from you!
#LI-Hybrind
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)
This listingSenior Architect, Camera ISP$184,000 to $356,500
Senior Software Engineer, Subnet Management$184,000 to $356,500
Senior Software Engineer, AI Networking$184,000 to $356,500
Senior Software Engineer, Machine Learning Safety$184,000 to $356,500
Senior Firmware Security Architect, Networking$184,000 to $356,500
Senior Compiler Engineer - AI$184,000 to $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 to $356,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Architect, Camera ISP (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 |
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, Santa Clara (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.
