Senior Architect, Camera ISP

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Algorithms @ 9 Communication @ 6 Deep Learning @ 9 Matlab @ 6 PyTorch @ 6 Python @ 6 Robotics @ 4 TensorFlow @ 6

Details

NVIDIA is seeking a creative, dedicated, and highly motivated Senior Architect, Camera ISP to advance camera imaging technologies for human and machine vision systems. The role focuses on next-generation camera imaging technology for autonomous vehicles, robotics, smart cities, and other Physical AI applications.

Responsibilities

Contribute to the development of world-class image signal processors (ISPs) that meet the performance and quality standards of NVIDIA's autonomous driving and robotics applications.
Drive continuous improvement and innovation in image processing algorithms and architectures, including state-of-the-art deep learning methods, to achieve exceptional image quality and camera usability.
Engage with emerging camera application areas, including Vision-Language-Action AI, to understand requirements and constraints and identify opportunities for ISP innovation.
Develop ISP architecture specifications, functional models, and tests in collaboration with IP architects, hardware engineers, and software teams.
Represent new and existing NVIDIA ISP capabilities to internal groups, partners, and customers.

Requirements

Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field.
10 or more 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 deep learning frameworks such as PyTorch and TensorFlow.
Excellent communication skills for interpersonal collaboration, documentation, and presentations.

Preferred Qualifications

Ph.D. in a relevant field or equivalent experience.
Deep expertise in image science, including optics, HDR image sensors, and color and tone management.
Experience 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.
A track record of building a culture of imaging excellence through first-principles thinking, attention to detail, mentorship, teaching, and leading by example.

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Base salary is determined by location, experience, and compensation for employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.