ZipRecruiter

Log In

1

Computer Vision Engineer Jobs in Texas (NOW HIRING)

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103.60K - $142.20K/yr

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Mentor junior perception engineers and raise the quality bar for how perception systems are ...

next page

Showing results 1-20

People also search for

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Texas

Computer Vision Engineer information

See Texas salary details

$45.2K

$113.2K

$128.1K

How much do computer vision engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision engineer in Texas is $113,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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 strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Texas? The most popular types of Computer Vision Engineer jobs in Texas are:
What are popular job titles related to Computer Vision Engineer jobs in Texas? For Computer Vision Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Texas look for? The top searched job categories for Computer Vision Engineer jobs in Texas are:
What cities in Texas are hiring for Computer Vision Engineer jobs? Cities in Texas with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Texas as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,210 per year, or $54.4 per hour.

Computer Vision & Machine Learning Engineer, Senior

Allen Control Systems

Austin, TX • On-site

$121.40K - $160.10K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing advanced technologies for autonomous systems. The Senior Computer Vision & Machine Learning Engineer will lead the development of computer vision algorithms and machine learning models for an autonomous gun turret, focusing on drone detection and tracking.
Responsibilities:
• Lead the 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.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• 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 Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 6+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems is a robotics defense company that develops counter-drone technology for the U.S. and its allied forces. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply