ZipRecruiter

Log In

2

Full Time Computer Vision Deep Learning Engineer Jobs

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

next page

Showing results 1-20

People also search for

All JobsFull Time Computer Vision Deep Learning Engineer Jobs

Full Time Computer Vision Deep Learning Engineer information

See salary details

$48.5K

$121.5K

$137.5K

How much do full time computer vision deep learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full time computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

More about Full Time Computer Vision Deep Learning Engineer jobs
What cities are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities with the most Full Time Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What job categories do people searching Full Time Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Full Time Computer Vision Deep Learning Engineer jobs are:
Full Time Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 25% Full Time, 69% Part Time, and 3% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 28 days ago

Job description

We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why.
NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI company". Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What you'll be doing:
  • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
  • Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
  • Taking approaches from initial evaluation and experimentation all the way to shipping.
  • Defining and collecting training datasets.
  • Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

What we need to see:
  • PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • Proven experience building robust software.
  • Passionate about Artificial Intelligence for robotics and autonomous navigation
  • Strive to learn new things and like solving hard problems
  • Math knowledge
  • Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.
  • Programming and debugging skills in C++ and/or Python.
  • Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.

Ways to stand out from the crowd:
  • Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems
  • Experience with Unsupervised or Self-supervised Learning
  • Involvement with architecture optimization, pruning, curriculum & multi-task training
  • Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.

We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
Nvidia logo

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

View All Nvidia Jobs

Apply