Senior Architect, Camera ISP

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
36 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $236k
$136k $304k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $159,400–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $198k for comparable roles.

Based on 240 similar postings.

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 1657 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1062 roles with salary data.

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At a glance

TL;DR · Senior Architect, Camera ISP

As a Senior Architect, Camera ISP, you will join the team responsible for developing world-class image signal processing for autonomous driving and robotics applications. You will contribute to the build and development of next-generation camera imaging technology, focusing on image processing algorithms and architectures that incorporate state-of-the-art deep learning methods. Your daily responsibilities include developing ISP architecture specifications, functional models, and tests while collaborating with hardware engineers and software teams. You will utilize C/C++, MATLAB, Python, and deep learning frameworks like PyTorch and TensorFlow to improve visual data quality for human and machine vision systems. The role requires expertise in imaging science, including optics, HDR image sensors, and color management, to solve complex problems in automotive, surveillance, and consumer camera systems.

What does a Architect earn?

Median $225000 from 45 postings across 26 companies.

See salary data

What you'll do

  • Build and develop world-class ISP to meet performance and quality standards for autonomous driving and robotics.
  • Drive continuous improvement in image processing algorithms and architectures using state-of-the-art deep learning methods.
  • Identify innovation opportunities by engaging with new camera application areas like Vision-Language-Action AI.
  • Develop ISP architecture specifications, functional models, and tests in coordination with hardware and software teams.
  • Represent existing and new NVIDIA ISP capabilities to internal groups, partners, and customers.
  • Perform human- and machine-centric image quality assessments and algorithm complexity analyses.

What we're looking for

  • 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 like PyTorch or TensorFlow.
  • Excellent communication skills for personal interactions, documentation, and presentations.
  • Ph.D. in a relevant field or equivalent experience (preferred).
  • Deep expertise in image science covering optics, HDR image sensors, and color/tone management (preferred).
  • Experience developing and deploying deep learning-based ISP technologies in real-time camera systems (preferred).

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