1

Opencv Jobs in Texas (NOW HIRING)

NumPy * OpenCV * NLP fundamentals * Deep Learning * Computer Vision * Generative AI * AWS, Azure, or Google Cloud * Git & GitHub What You''ll Gain * Hands-on experience building AI solutions.

Knowledge of computer vision libraries (OpenCV, YOLO, etc.). * C# experience is a plus. * Background in smaller company environments where diverse roles, including DevOps and deployment tasks, were ...

Experience with autonomous navigation, SLAM, or computer vision (OpenCV, PCL, TensorFlow/PyTorch). * Background in machine learning for robotics or reinforcement learning. * Familiarity with ...

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib ...

next page

Showing results 1-20

Opencv information

See Texas salary details

$79.6K

$113.2K

$142.5K

How much do opencv jobs pay per year?

As of Jul 31, 2026, the average yearly pay for opencv in Texas is $113,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,936.00 and $132,354.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Opencv position, and why are they important?

To succeed as an OpenCV Developer, you should possess strong programming skills in Python or C++, a solid understanding of computer vision fundamentals, and a degree in computer science or related field. Familiarity with OpenCV library, machine learning frameworks, and version control tools such as Git is essential for developing robust vision applications. Excellent problem-solving abilities, teamwork, and clear communication are important soft skills in collaborative development environments. These qualifications ensure high-quality, efficient solutions for image processing and computer vision tasks in a dynamic field.

What is an OpenCV job?

An OpenCV job involves working with OpenCV, an open-source computer vision and machine learning library. Professionals in this role develop applications for image processing, object detection, facial recognition, and real-time video analysis. These jobs are often found in industries like robotics, healthcare, security, and autonomous vehicles. Strong skills in Python or C++, along with experience in deep learning frameworks, are typically required.

What types of projects or industries commonly use OpenCV Developers, and what can I expect to work on in this role?

OpenCV Developers are in high demand across industries such as robotics, automotive (autonomous vehicles), healthcare (medical imaging), manufacturing (quality inspection), and security (facial recognition or surveillance). In this role, you can expect to work on tasks like object detection, image segmentation, real-time video analysis, or integrating vision solutions with hardware. Projects often involve collaborating with data scientists, software engineers, and hardware teams to deliver end-to-end solutions. The work environment is typically collaborative and project-driven, offering ample opportunity to work with cutting-edge technologies and expand specialized expertise.

What are the most commonly searched types of Opencv jobs in Texas? The most popular types of Opencv jobs in Texas are:
What cities in Texas are hiring for Opencv jobs? Cities in Texas with the most Opencv job openings:
Infographic showing various Opencv job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,153 per year, or $54.4 per hour.

$101K - $119K/yr

Full-time

Re-posted 12 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.