Six Figure Work

Senior Architect, Camera ISP

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

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  • 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 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 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

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
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.