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Computer Vision Software Engineer Jobs in Texas (NOW HIRING)

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... Facilitate software application design discussions, and document design decisions to guide the ... Required Skill and Experience - Expertise in developing real-time computer vision models - Python ...

Burnetts Staffing

Computer Vision Engineer

Dallas, TX

$43.27 - $61/hr

Our client, a rapidly growing organization operating in a complex industrial environment, is seeking a Computer Vision Engineer in Dallas, TX to design and build a real time video analytics platform.

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 ... Collaborate with autonomy, flight software, and hardware teams to define camera, sensor, and ...

Burnetts Staffing

Computer Vision Engineer

Dallas, TX

$43.27 - $61/hr

Our client, a rapidly growing organization operating in a complex industrial environment, is seeking a Computer Vision Engineer in Dallas, TX to design and build a real time video analytics platform.

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

In the role of Technology Consultant 2, you will contribute to software application design, coding ... Required : • Expertise in developing real-time computer vision models • Python, Pytorch ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing an autonomous gun turret using advanced computer vision and control systems to ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing an autonomous gun turret using advanced computer vision and control systems to ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing a small, autonomous gun turret that employs advanced computer vision and control ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Software Engineer Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup ... We are developing a small, autonomous gun turret that employs advanced computer vision and control ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

... computer vision technology. They are seeking a highly skilled robotics software engineer proficient ... in C++ or Python to design, develop, and maintain high-performance software applications ...

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Showing results 1-20

All JobsComputer Vision Software Engineer JobsComputer Vision Software Engineer Jobs in Texas

Computer Vision Software Engineer information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do computer vision software engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer vision software engineer in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Software Engineer, and why are they important?

To thrive as a Computer Vision Software Engineer, you need strong programming skills (particularly in Python or C++), a solid background in mathematics and algorithms, and a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), OpenCV, and familiarity with computer vision libraries and cloud platforms is highly valuable. Creative problem-solving, attention to detail, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing, optimizing, and deploying innovative computer vision solutions that address real-world challenges.

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

AspectComputer Vision Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of 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, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and tabular data, across multiple industries
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, startups, research institutions

While both roles involve machine learning concepts, Computer Vision Software Engineers focus specifically on image and video data, developing algorithms for visual understanding. Machine Learning Engineers have a broader scope, working on various data types and models. The roles often overlap but differ mainly in their specialization and application areas.

What are some common challenges Computer Vision Software Engineers face when deploying models to production environments?

One frequent challenge for Computer Vision Software Engineers is optimizing models to run efficiently in production, especially on devices with limited processing power or memory. Additionally, ensuring that models remain robust when exposed to real-world data—which may differ significantly from training data—requires ongoing monitoring and potential retraining. Collaboration with data engineers and DevOps teams is often essential to streamline deployment pipelines and address issues like data drift or latency. Staying updated with rapidly evolving frameworks and hardware accelerators is also key for success in this role.

What are Computer Vision Software Engineers?

Computer Vision Software Engineers are professionals who design, develop, and implement software solutions that enable computers to interpret and process visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to build applications like facial recognition, object detection, and autonomous vehicles. Their work often involves programming, working with large datasets, and optimizing algorithms for accuracy and speed. These engineers are crucial in industries ranging from healthcare and automotive to security and entertainment.
What are popular job titles related to Computer Vision Software Engineer jobs in Texas? For Computer Vision Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Software Engineer jobs in Texas look for? The top searched job categories for Computer Vision Software Engineer jobs in Texas are:
Computer Vision Software Engineer jobs near you
Infographic showing various Computer Vision Software Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

Posted 21 days ago

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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