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Computer Vision Developer Jobs in Texas (NOW HIRING)

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$15

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How much do computer vision developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer vision developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a computer vision developer?

A Computer Vision Developer is a software engineer who specializes in creating applications and systems that can interpret and process visual information from the world, such as images or videos. They use techniques from artificial intelligence and machine learning to enable computers to identify objects, track movements, and understand scenes. Their work powers technologies such as facial recognition, autonomous vehicles, and augmented reality. Typically, they have expertise in programming languages like Python or C++, and are familiar with frameworks such as OpenCV or TensorFlow.

What are some common challenges faced by computer vision developers in deploying models to production environments?

Computer Vision Developers often encounter challenges such as optimizing models for real-time performance, handling diverse and noisy data from real-world sources, and ensuring models are robust across various hardware platforms. Integrating computer vision solutions into existing systems may require close collaboration with DevOps and backend engineers to address issues like latency, scalability, and security. Staying updated with rapidly evolving frameworks and hardware accelerators is also essential to maintain high-quality deployments.

What are the key skills and qualifications needed to thrive as a computer vision developer, and why are they important?

To excel as a Computer Vision Developer, you need a solid background in computer science, linear algebra, and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with programming languages like Python or C++, and tools such as OpenCV, TensorFlow, or PyTorch, is typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you innovate and deliver robust solutions. These competencies are crucial for developing, optimizing, and deploying advanced visual recognition systems that meet real-world application needs.

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

AspectComputer Vision DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, specialized in computer vision or image processingBachelor's or Master's in CS, data science, or related fields with ML focus
Work EnvironmentDevelops algorithms for image/video analysis, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and structured data across industries
Employer & Industry UsageTech companies, robotics, automotive, healthcareTech firms, startups, finance, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Developers specialize in image and video analysis, whereas Machine Learning Engineers work on broader data modeling across multiple data types. The roles often overlap but differ in focus and application areas.

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

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

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

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

Computer Vision Developer jobs near you
Infographic showing various Computer Vision Developer 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 $102,393 per year, or $49.2 per hour.

Computer Vision Engineer (Hybrid :: W2 Only)

VAAM Technologies

Coppell, TX • On-site

$103K - $122K/yr

Other

Posted 2 days ago

New

Job description

Experience

  • 3 5 years of hands-on experience building computer vision and machine learning models.
  • Proven track record taking models from experimentation to production.

Skills

  • Proficiency in both modern AI-based CV models (CNNs, transformers, embeddings) and traditional computer vision
  • Strong Python skills for CV/ML development, data processing, and experimentation.
  • Experience with PyTorch or TensorFlow.
  • Hands-on experience with detection, segmentation, classification, and image/video analysis.
  • Practical knowledge of computer vision hardware-cameras, sensors, lighting, and edge devices-and the real-world constraints that affect data quality and model performance.
  • Experience with broader ML problems: time-series modeling, anomaly detection, clustering, and data analysis.

Abilities

  • Strong analytical and performance-debugging skills.
  • Able to evaluate model options and turn business problems into practical AI solutions.
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering or a related field.

Preferred Qualifications

  • Experience deploying models to edge devices or optimizing for inference (quantization, pruning, TensorRT, ONNX).
  • Familiarity with MLOps practices: experiment tracking, model versioning, and drift/performance monitoring.
  • Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and GPU-based training.
  • Experience working with retail, IoT, or real-world imaging datasets.

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