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Computer Vision Developer information

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$15

$49

$76

How much do computer vision developer jobs pay per hour?

As of Jun 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 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 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 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

Computer Vision & Machine Learning, Staff

Allen Control Systems

Austin, TX • On-site

Other

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Staff Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

What You'll Do:

  • Lead the 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.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • 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.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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