Senior Architect, Camera Isp

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role focuses on architecting and developing Image Signal Processing (ISP) for NVIDIA's autonomous driving and robotics applications, incorporating SOTA deep learning methods to enhance image quality and usability. The architect will define specifications, models, and tests, working with hardware and software teams, and engaging with new application areas like Vision-Language-Action AI.

What you'd actually do

  1. 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
  2. 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
  3. Engage with new camera application areas including Vision-Language-Action AI to understand needs and constraints, and discover opportunities to innovate ISP
  4. Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, hardware engineers, and software teams
  5. Represent new and existing NVIDIA ISP capabilities to internal groups, partners, and customers

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • SOTA deep learning methods
  • deep learning-based ISP technologies

Other signals

  • driving continuous improvement and innovation in image processing algorithms and architectures including SOTA deep learning methods
  • develop ISP architecture specifications, functional models, and tests
  • experience in developing and successfully deploying deep learning-based ISP technologies in real-time camera systems