Senior Architect, Camera ISP

NVIDIA

Santa Clara, CA, United States3w ago

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Key details

Location
Santa Clara, CA, United States
Work style
Onsite
Level
Lead / Staff+
Job type
Full-time
Experience
10–13 yrs
Function
Software engineering
Focus area
AI / ML
Posted
3w ago

Skills

algorithmsc++computer visiondata qualitydeep learningimage processingmatlabpythonpytorchroboticstensorflow

About the role

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 the pay of employees in similar positions. The base salary range is 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 September 27, 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.

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