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Computer Vision Jobs in Texas (NOW HIRING)

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX · On-site

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

They are seeking a Computer Vision Engineer to develop the Blackfoot's perception and visual autonomy stack, focusing on delivering robust onboard vision capabilities in challenging environments.

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.

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Skyways

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact ...

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Computer Vision information

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How much do computer vision jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computer vision in Texas is $44,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $51,700.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

What are the most commonly searched types of Computer Vision jobs in Texas?

The most popular types of Computer Vision jobs in Texas are:

What are popular job titles related to Computer Vision jobs in Texas?

For Computer Vision jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computer Vision jobs in Texas look for?

The top searched job categories for Computer Vision jobs in Texas are:

What cities in Texas are hiring for Computer Vision jobs?

Cities in Texas with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,997 per year, or $21.6 per hour.

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

Re-posted yesterday

Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.

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