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Senior Vision Systems Jobs (NOW HIRING)

Nvidia

Senior Vision Language Model Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

We are seeking a senior vision language model engineer to design and build agentic data and ... Experience in robotic systems such as autonomous vehicles or humanoid robotics. Come join us at ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team ... Collaborate closely with electrical engineers to integrate computer vision systems into the turret ...

Skyways

Senior Computer Vision

Austin, TX · On-site

The role involves developing computer vision systems for autonomous landing and navigation, directly impacting aircraft's ability to identify safe landing areas and operate in various environments.

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera ...

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Senior Vision Systems information

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$21K

$108.4K

$152K

How much do senior vision systems jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior vision systems in the United States is $108,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Vision Systems vs Vision Engineer?

AspectSenior Vision SystemsVision Engineer
Required CredentialsBachelor's or Master's in Computer Vision, Electrical Engineering, or related fields; experience with AI and machine learningBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; proficiency in image processing and software development
Work EnvironmentResearch labs, R&D departments, manufacturing facilitiesDevelopment teams, R&D, product design, and testing environments
Employer & Industry UsageTech companies, manufacturing, robotics, automotiveTech firms, automation, robotics, aerospace, and manufacturing

Both roles focus on computer vision technologies but differ in seniority and scope. Senior Vision Systems professionals typically lead projects, oversee teams, and have extensive experience, while Vision Engineers focus on developing and implementing vision algorithms. The roles often overlap in skills and industry usage, but senior roles involve more leadership and strategic responsibilities.

More about Senior Vision Systems jobs
What cities are hiring for Senior Vision Systems jobs? Cities with the most Senior Vision Systems job openings:
What are the most commonly searched types of Vision Systems jobs? The most popular types of Vision Systems jobs are:
What states have the most Senior Vision Systems jobs? States with the most job openings for Senior Vision Systems jobs include:
What job categories do people searching Senior Vision Systems jobs look for? The top searched job categories for Senior Vision Systems jobs are:
Senior Vision Systems jobs near you
Infographic showing various Senior Vision Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,432 per year, or $52.1 per hour.

Senior Vision Language Model Engineer

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the dataset search and model training capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI.

What you'll be doing:

  • Partner with our researchers to develop and evaluate prototypes of our latest models, such as VLMs and VLAs, for video search, video understanding, and more. Enable fundamental advances in autonomous driving, healthcare, and robotics.

  • Design and implement agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.

  • Build, curate, and maintain highquality multimodal datasets (e.g., video, sensor, language/action traces) tailored for endtoend physical AI problems, such as autonomous driving.

  • Explore and productize new data sources including simulation and synthetic data.

  • Use agentic AI workflows across the full applied research lifecycle.

  • Collaborate with research, model development, performance, and product teams.

  • Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products.

What we need to see:

  • PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field

  • Strong background in modern deep learning, including transformerbased architectures, video modeling, and multimodal VLM/VLA or foundation models.

  • Excellent experience training and deploying deep learning models on realworld datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.

  • Excellent experience with python and at least one deep learning framework.

  • Current with the latest research on image and video search in autonomous vehicles, healthcare, robotics, or related physical AI applications.

  • Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases.

  • Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team.

Ways to Stand Out from the Crowd:

  • Strong track record publishing in top-tier conference such as CVPR, NeuRIPS, ICML, ECCV

  • Patents in video retrieval or related field

  • Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.

  • Experience in robotic systems such as autonomous vehicles or humanoid robotics.

Come join us at NVIDIA and contribute to a team that is pushing the edges of what can be done in AI and computer vision. We're looking for candidates who are innovative, ambitious, and ready to leave a lasting mark on the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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