Senior Architect, Camera ISP

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ Hybrid

Used Tools & Technologies

Not specified

Required Skills & Competences

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

Details

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 expertise to drive continuous improvement and innovation in image processing algorithms and architectures including state-of-the-art 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.

Requirements

  • 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, and deep learning frameworks (PyTorch, TensorFlow).
  • Excellent communication skills for productive personal interactions as well as for effective documentation and presentation.

Ways to stand out (Preferred)

  • Ph.D. in a 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.

Compensation and benefits

  • Base salary ranges:
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • You will also be eligible for equity and benefits (link provided in the original posting).

Other information

  • Applications for this job will be accepted at least until July 18, 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 is an equal opportunity employer.
  • Note: #LI-Hybrind (hybrid), as shown in the original posting.

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