As Principal ISP Architect at NVIDIA, you will lead the development of cutting-edge imaging signal processing (ISP) technologies to meet high performance standards for autonomous driving and robotics applications. Your responsibilities include driving innovation in image processing algorithms using AI methods, engaging with new application areas like Vision-Language-Action AI, and developing detailed architecture specifications and tests. You will collaborate closely with hardware engineers and software teams while representing NVIDIA’s ISP capabilities internally and externally. Ideal candidates hold a Master's or Ph.D. in Electrical Engineering or Computer Science, with over 12 years of experience in ISP for automotive and robotics sectors. Proficiency in C/C++, MATLAB, Python, and deep learning frameworks is essential, along with strong communication skills and expertise in image science, AI deployment, and industry standards.
Skills
C/C++
Python
PyTorch
TensorFlow
MATLAB
HDR image sensors
Color/tone management
AI-based ISP technologies
Real-time camera systems
Industry standards for imaging systems
Image science
Optics
Imaging excellence
ISP architecture
Functional models
Tests development
Communication skills
Documentation skills
Presentation skills
What you'll do
Lead development of high-performance ISPs for autonomous driving and robotics applications.
Drive innovation in image processing algorithms using AI methods to enhance image quality.
Engage with new application areas to identify opportunities for ISP improvements.
Develop detailed ISP architecture specifications and functional models for various teams.
Represent NVIDIA’s ISP capabilities internally and externally to partners and customers.
What we're looking for
Master's degree or Ph.D. in Electrical Engineering, Computer Science, or related field.
12+ years experience in ISP architecture and imaging science for automotive and robotics.
Expertise in human- and machine-centric image quality assessment and algorithm complexity analysis.
Proficiency in C/C++, MATLAB, Python, and deep learning frameworks like PyTorch and TensorFlow.
Experience deploying AI-based ISP technologies in real-time camera systems.
Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging.
Track record in building a culture of imaging excellence through mentorship and teaching.
Market check
Salary context
This
$272,000–$431,250
range sits above
98%
of similar postings on FindRole.
Peer median band
$150,000–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$161,250–$235,750
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
C
C++
Python
Image Signal Processing
Camera Hardware Design
System Optimization
Technical Documentation
Cross-Functional Collaboration
Computer Architecture
Embedded Systems