NVIDIA
Senior Architect, Camera ISP
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Sep 23, 2026
- Experience
- 10+ years; the posting also lists a Ph.D. or equivalent experience as preferred.
- Education
- Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field.
About the job
Architects and advances camera image signal processing (ISP) technology for autonomous driving, robotics, and other human- and machine-vision applications.
What you'll do
- Develop ISP architecture and image-processing algorithms, including deep-learning methods, to improve image quality and camera usability.
- Create ISP architecture specifications, functional models, and tests with hardware, software, and IP teams.
- Assess camera application needs and represent ISP capabilities to internal groups, partners, and customers.
What they ask for
- Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field.
- 10+ years of 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, and a DL framework (PyTorch, TensorFlow); excellent communication skills.
Nice to have
- Ph.D. in a relevant field or equivalent experience.
- Expertise in image science, real-time deep-learning ISP deployment, imaging standards and benchmarks, or mentorship in imaging excellence.
Pay
184,000 USD - 287,500 USD (base salary); 224,000 USD - 356,500 USD (base salary)
Tools
C/C++, MATLAB, Python, PyTorch, TensorFlow
AI focus
Applies deep-learning methods to ISP algorithms and architectures, and explores camera imaging needs for Vision-Language-Action AI applications.
Model-written summary · the original posting is authoritative