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Computer Vision Jobs in Texas (NOW HIRING)

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$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 ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$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 ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$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 ...

AgileEngine

Senior Computer Vision Engineer ID72408

Austin, TX · On-site +1

$103K - $142K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying ...

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Computer Vision information

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How much do computer vision jobs pay per year?

As of Sep 10, 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 & Machine Learning, Junior

Austin, TX • On-site

Allen Control Systems
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Allen Control Systemsexternal

Full-time

Re-posted 5 hours ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous gun turret technology. The Junior Computer Vision & Machine Learning role focuses on developing and optimizing algorithms for drone detection and classification, collaborating with engineers, and testing systems in various environments.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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