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Full Time Computer Vision Jobs (NOW HIRING)

The EADS Group

CAD Technician

Somerset, PA · On-site

... Vision · Flexible scheduling · Paid time off · Paid holidays · Company-paid life insurance · AFLAC · Competitive salary commensurate with experienceIn this full-time CAD Technician role ...

The EADS Group

CAD Technician - Survey

Somerset, PA · On-site

... Vision • Flexible scheduling • Paid time off • Paid holidays • Company-paid life insurance • AFLAC • Competitive salary commensurate with experience In this full-time CAD Technician role ...

The EADS Group

CAD Technician - Survey

Somerset, PA

... Vision · Flexible scheduling · Paid time off · Paid holidays · Company-paid life insurance · AFLAC · Competitive salary commensurate with experience In this full-time CAD Technician role ...

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Full Time Computer Vision information

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

As of Sep 9, 2026, the average yearly pay for full time computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a full time computer vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.

What are the key skills and qualifications needed to thrive as a full time computer vision engineer?

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.
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Full Time Computer Vision jobs near you
Infographic showing various Full Time Computer Vision job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Staff Software Engineer - Computer Vision

Redwood City, CA • On-site

Array Labs
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees
Learn more about Array Labsexternal

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

About Us
Array Labs is building a new way to understand the physical world.
Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.
Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.
We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages - bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing - to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.

Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.

Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)

$150,000 - $300,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.

ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
If you require a reasonable accommodation during the application or interview process, please let us know.

Apply