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Computer Vision Developer Jobs in Texas (NOW HIRING)

They are seeking a Computer Vision Engineer to develop the Blackfoot's perception and visual autonomy stack, focusing on delivering robust onboard vision capabilities in challenging environments.

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 autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/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 ...

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/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 ...

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/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 ...

The role involves developing computer vision systems for autonomous landing and navigation ... engineering environments • Strong communication and collaboration skills Preferred : • ...

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Computer Vision Developer information

See Texas salary details

$15

$49

$76

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.

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.

$101K - $119K/yr

Full-time

Re-posted 2 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.