Senior Architect, Camera ISP

Job Title

Senior Architect, Camera ISP

Role Summary

Lead architecture and algorithm definition for camera image signal processing (ISP) used in autonomous driving, robotics, and other machine- and human-vision systems. Collaborate with hardware, software, and IP teams to deliver high-quality, real-time imaging solutions.

Focus on advancing image quality, integrating deep-learning methods into ISP pipelines, and enabling new camera applications for safety-critical and consumer products.

Experience Level

Senior-level — typically requires 10+ years of experience in ISP architecture and imaging science.

Responsibilities

Design, specify, and validate ISP architectures and algorithms to meet performance and quality targets.

• Define ISP architecture specifications, functional models, and verification tests in collaboration with IP architects, hardware engineers, and software teams.
• Develop and evaluate image processing algorithms, including deep-learning based methods, for human and machine vision quality and real-time performance.
• Analyze algorithm complexity and trade-offs to meet embedded/system constraints.
• Engage with new application areas (e.g., vision-language-action) to derive requirements and identify ISP innovations.
• Present and represent ISP capabilities to internal stakeholders, partners, and customers; drive cross-team alignment.

Requirements

Must-have technical skills and experience.

• 10+ years of proven experience in ISP architecture and imaging science across automotive, robotics, surveillance, or consumer camera domains.
• Strong foundation in human- and machine-centric image quality assessment and algorithm complexity analysis.
• Proficiency implementing and prototyping in C/C++, MATLAB, and Python; experience with deep-learning frameworks such as PyTorch or TensorFlow.
• Experience deploying real-time imaging solutions and optimizing algorithms for embedded systems.
• Excellent written and verbal communication, and experience documenting and presenting technical work.

Nice-to-have:

• Deep expertise in optics, HDR image sensors, color and tone management.
• Experience developing and deploying deep-learning based ISP technologies in production camera systems.
• Familiarity with industry imaging standards and benchmarks for consumer, automotive, or medical systems.
• Proven mentorship or leadership in building imaging practices and technical culture.

Education Requirements

Master's degree (or equivalent practical experience) in Electrical Engineering, Computer Science, or a related technical field is required. A Ph.D. in a relevant field is preferred but not mandatory; equivalent industry experience is accepted.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.