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Computer Vision Developer Jobs in Texas (NOW HIRING)

Skyways

Senior Computer Vision

Austin, TX · On-site

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation ... Ability to operate effectively in fast-moving engineering environments > * Strong communication and ...

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$15

$49

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How much do computer vision developer jobs pay per hour?

As of May 30, 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 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 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 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 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
Senior Computer Vision

Senior Computer Vision

Skyways

Austin, TX • On-site

Full-time

Posted 16 days ago

Job description

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.
Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.
Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.
Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is building the future of autonomous logistics aviation from Austin, Texas.
The Opportunity
This role owns some of the hardest perception problems in autonomous flight.
You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.
You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.
The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.
You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.
What You'll Do:
  • Develop and deploy computer vision systems for autonomous landing and landing zone evaluation
    • >
  • Build perception systems for targetless landing in unstructured and dynamic environments
    • >
  • Develop algorithms for terrain understanding, obstacle detection, and environment classification
    • >
  • Work with onboard camera, IMU, GPS, and other sensor data in real flight environments
    • >
  • Improve system performance using operational flight data, testing, and iteration
    • >
  • Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors
    • >
  • Debug perception and autonomy issues observed during simulation, ground testing, and flight operations
    • >
  • Contribute to software architecture, testing, integration, and deployment workflows
    • >

What You'll Bring:
  • 5+ years of experience developing and deploying computer vision or perception systems in real-world environments
    • >
  • Strong proficiency in C++ and Python
    • >
  • Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms
    • >
  • Experience working with real sensor data and operational deployment constraints
    • >
  • Strong understanding of camera systems, sensor fusion, and state estimation concepts
    • >
  • Experience debugging and improving deployed perception systems using logs, telemetry, or flight data
    • >
  • Ability to operate effectively in fast-moving engineering environments
    • >
  • Strong communication and collaboration skills
    • >

Bonus Points If You Have:
  • Experience with autonomous aircraft or aerial robotics
    • >
  • Experience with landing zone evaluation, terrain classification, or visual navigation systems
    • >
  • Background in SLAM, visual odometry, or GPS-denied navigation
    • >
  • Experience with embedded or real-time systems
    • >
  • Familiarity with ROS2 or similar robotics frameworks
    • >
  • Experience deploying perception systems to resource-constrained platforms
    • >

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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