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Machine Vision Engineer Jobs in Texas (NOW HIRING)

Magic Leap

Sr Mechanical Engineer, Equipment Design

Austin, TX · On-site

$89K - $122K/yr

Collaborate on the development of machine vision systems integration, pneumatic actuators, valving ... Bachelor's degree in Mechanical Engineering. * Proven expertise in designing systems with micron ...

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All JobsMachine Vision Engineer JobsMachine Vision Engineer Jobs in Texas

Machine Vision Engineer information

See Texas salary details

$29.3K

$120K

$180.3K

How much do machine vision engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine vision engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Vision Engineer position, and why are they important?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What is a Machine Vision Engineer job?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What are typical projects or daily tasks for a Machine Vision Engineer?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the most commonly searched types of Machine Vision Engineer jobs in Texas? The most popular types of Machine Vision Engineer jobs in Texas are:
What are popular job titles related to Machine Vision Engineer jobs in Texas? For Machine Vision Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Vision Engineer jobs in Texas look for? The top searched job categories for Machine Vision Engineer jobs in Texas are:
What cities in Texas are hiring for Machine Vision Engineer jobs? Cities in Texas with the most Machine Vision Engineer job openings:
Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous gun turrets with advanced computer vision and control systems. The role involves developing and optimizing computer vision algorithms and machine learning models for drone detection and tracking, while collaborating with electrical engineers and conducting extensive testing.
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.
• 4-7+ 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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