About the 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!
Responsibilities
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
Qualifications
Minimum
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
Preferred
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