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Computer Vision Engineering Jobs (NOW HIRING)

Sentradel

Computer Vision Engineer

San Francisco, CA · On-site

$120K - $210K/yr

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

Infosys Limited Digital

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... science|Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required Skill and Experience - Expertise in developing real-time computer vision models - Python ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence ... Strong Python engineering and a bias toward measurable outcomes. Nice-to-have (Bonus): * Sports ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Applied Math, or related field * 5+ years of hands-on experience developing and deploying computer vision systems (3+ years ...

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Computer Vision Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do computer vision engineering jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer vision engineering 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 Computer Vision Engineering vs Machine Learning Engineering?

AspectComputer Vision EngineeringMachine Learning Engineering
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of image processing and computer vision librariesBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentDeveloping algorithms for image/video analysis, object detection, and scene understandingBuilding models for various data types, including images, text, and tabular data
Employer & Industry UsageTech companies, robotics, automotive, healthcare, securityTech firms, finance, healthcare, e-commerce, research institutions

Computer Vision Engineering focuses on developing algorithms for interpreting visual data, while Machine Learning Engineering covers a broader range of data types and applications. Both roles require strong programming skills and often overlap in skills and tools, but their primary focus and industry applications differ.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and machine learning, typically backed by a degree in computer science or a related field. Familiarity with tools such as OpenCV, TensorFlow, PyTorch, and experience with image processing libraries and deep learning frameworks is essential. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing innovative computer vision solutions and collaborating across multidisciplinary teams to solve complex visual recognition challenges.

What is computer vision engineering?

Computer vision engineering is a field within artificial intelligence that focuses on enabling computers and systems to interpret and process visual information from the world, such as images and videos. Computer vision engineers develop algorithms and models that allow machines to identify, classify, and analyze visual data, often for applications like facial recognition, autonomous vehicles, medical imaging, and industrial automation. They work with large datasets, deep learning frameworks, and various programming languages to build and optimize these intelligent systems.

What are the typical challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring models perform accurately on real-world data, optimizing inference speed for deployment on various hardware, and managing large-scale image or video data pipelines. Additionally, integrating computer vision solutions with existing backend systems and maintaining model performance as data evolves can be complex. Collaboration with data engineers, software developers, and QA teams is essential to address these issues and ensure robust, scalable deployment.
More about Computer Vision Engineering jobs
What job categories do people searching Computer Vision Engineering jobs look for? The top searched job categories for Computer Vision Engineering jobs are:
Computer Vision Engineering jobs near you
Infographic showing various Computer Vision Engineering job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Sentradel

San Francisco, CA • On-site

$120K - $210K/yr

Full-time

Posted 7 days ago

Job description

About Sentradel
Over 90 percent of combat deaths in Ukraine are caused by small drones. In Colombia, over 100 military and police officers have been killed by cartel operated drones. Shahed drones hit civilian and military targets across the Middle East uncontested. Unjammable fiber optic and AI controlled drones are making the threat cheaper, faster, and harder to stop. This problem will only get worse.
Sentradel is a defense startup in San Francisco building autonomous, low cost kinetic turret systems designed to defeat Group 1 (small FPV drones) and low flying Group 2 drone threats. We have shot down dozens of drones in live fire testing, have active Department of War agreements, commercial partnerships, and sales.
How we work
Full time, in person at our San Francisco office. We also travel and test frequently at our Nevada range, and across the US at demos with partners and customers.
Job Overview
FPV drones are small, fast, and hard to track. Even expensive systems have not fully solved this problem. We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute.
Responsibilities
• Build and own the perception stack: detection, tracking, and real time video pipelines
• Deploy and optimize models on embedded GPUs (NVIDIA Jetson)
• Push detection range on low cost sensors
Qualifications
• You have shipped real time CV systems in production, not post processing or school projects
• Experience with drone or small object detection and tracking
• Experience running models on embedded GPUs and the NVIDIA Jetson ecosystem
• Experience building real time video pipelines
• CUDA experience
US Person Requirement
Sentradel is a US defense contractor and this role involves access to export-controlled technical data. Applicants must be a US Person as defined under ITAR (22 CFR 120.62): a US citizen, US lawful permanent resident (green card holder), or a protected individual such as a refugee or asylee.

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