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NVIDIA

Senior Architect, Camera ISP - CA, Santa Clara, United States

NVIDIA Remote friendly (US, CA, Santa Clara, United States) 3 months ago
AI/ML Hardware

$184,000 - $356,500 USD yearly

Originally posted 14 July 2026 by the employer.

Architect camera imaging technologies and ISP functional models for autonomous driving and robotics applications.

About the role

As Senior Architect, Camera ISP, you will architect camera imaging technologies for human and machine vision systems. The role focuses on ISP architecture and image processing algorithms for autonomous vehicles, robotics, and Vision-Language-Action AI applications.

What you'll do

- Contribute to the development of ISP architectures to meet performance and quality standards for autonomous driving and robotics applications. - Apply image processing algorithms and architectures, including deep learning methods, to improve image quality and camera usability. - Engage with emerging camera application areas such as Vision-Language-Action AI to identify requirements and architecture opportunities. - Develop ISP architecture specifications, functional models, and tests alongside IP architects, hardware engineers, and software teams. - Represent NVIDIA ISP capabilities to internal teams, partners, and customers.

What you'll need

- Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field. - 10+ years of experience in ISP architecture and imaging science for automotive, robotics, surveillance, or 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). - Experience preparing technical documentation and presentations for cross-functional collaboration.

Skills: Camera ISP, image processing algorithms, deep learning, ISP architecture, machine vision

Market context

This role has been open 98 days — well above the 84-day median for AI/ML Hardware Engineering roles.

AI/ML Hardware Engineering · AI ML Hardware

Open roles in category
513
Median days open
84 d
Median salary
$236k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in AI/ML Hardware Engineering hiring
Metric NVIDIA All employers we track in this specialty (513 roles · 77 employers)
Open roles in this specialty 91 513
Open roles in the wider Software, Firmware & Systems family 992 6222 · 145 employers
Median days open 55 d 84 d (−29 d vs this employer)
Median salary (USD postings) — $236k

Skills observed across this category: Camera ISP, image processing algorithms, deep learning, ISP architecture, machine vision

Who's hiring in this category

  • Qualcomm · 103 open roles · median 111 d
  • NVIDIA (this employer) · 91 open roles · median 55 d
  • AMD · 40 open roles · median 84 d
  • Micron Technology · 27 open roles · median 55 d
  • Analog Devices · 19 open roles · median 38 d
  • Mobileye · 18 open roles · median 83 d

How we counted: 513 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 20 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
US, CA, Santa Clara, United States
Hybrid
$184,000 - $356,500 USD yearly
3 months ago

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