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Computer Vision Research Jobs in Texas (NOW HIRING)

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Participate in cutting-edge research for medical applications of computer vision Must Have Experience * Experience with deep learning and convolutional networks * Strong theoretical and empirical ...

Showing results 21-40

Computer Vision Research information

What is a computer vision research?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

What are the key skills and qualifications needed to thrive in computer vision research?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What are some common challenges faced by professionals working in computer vision research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.

How to get into computer vision research?

To pursue a career in computer vision research, develop strong skills in programming (especially Python and C++), machine learning, and image processing. Obtain a relevant degree such as a master's or Ph.D. in computer science, electrical engineering, or related fields, and gain experience through research projects, internships, or publications in the field.

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

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

What cities in Texas are hiring for Computer Vision Research jobs?

Cities in Texas with the most Computer Vision Research job openings:

Infographic showing various Computer Vision Research 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.

Looking for Senior ARVR R&D Engineer

Xoriant Corporation

Manor, TX โ€ข On-site

$112K - $154K/yr

Other

Posted 8 days ago


Job description

Location: 7000 N.Mopac Expy, Austin, TX, US

Job Title: Senior R&D Engineer.

Duration of the job: 6-12 months

Job Description:

Futurewei has an opening for Visual Computing R&D engineering. Candidate will be responsible for

  • Conduct R&D in the areas of spatial computing, computer vision, graphic rendering, avatar animation, AI/ML modeling, and/or other technical areas related to graphic animation and Metaverse.
  • Focused innovative research for journal and conference publication, and patents.
  • Open source implementation of demo prototype, and core algorithms.
  • Work on developing new imaging dataset of human faces and expressions.
  • Industrial and academic collaboration, and professional community involvement.

Requirements:

  • PhD & MS in Computer Science, EE, or related fields.
  • Proven strong background in academic research and publication
  • Proficient in at least one of the following programming languages: C/C++, Python
  • Knowledge and hands-on experience in AI/ML, computer graphic, computer vision, or other visual computing algorithms is a strong plus.
  • Industrial experience a plus, particularly the experience with OpenCV, OpenGL, or WebGL.
  • Strong mathematical skill, problem-solving and analytical mindset.
  • Eagerness and quickness to learn new technologies
  • Software development in related fields with hands-on experiences is desired.