Principal Architect, Camera Isp

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Principal ISP Architect to lead the development of camera imaging technologies for AI applications in autonomous driving and robotics. The role involves driving innovation in image processing algorithms, including AI methods, and developing ISP architecture specifications. The position requires a Master's or Ph.D. with 12+ years of experience in ISP architecture and imaging science, proficiency in C/C++, MATLAB, Python, and DL frameworks, and experience with AI-based ISP technologies in real-time systems.

What you'd actually do

  1. Lead 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 AI methods to achieve unprecedented image quality
  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

  • Master's degree or Ph.D. or equivalent experience in Electrical Engineering, Computer Science, or a related field
  • 12+ 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

Nice to have

  • Background in image science covering optics, HDR image sensors, and color/tone management
  • Hands-on experience in deploying AI-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

  • AI methods to achieve unprecedented image quality
  • Vision-Language-Action AI
  • deploying AI-based ISP technologies in real-time camera systems

Other signals

  • AI methods to achieve unprecedented image quality
  • Vision-Language-Action AI
  • deploying AI-based ISP technologies in real-time camera systems