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Computer Vision Research Jobs in Texas (NOW HIRING)

The candidate will primarily work in one or more of the following areas: computer vision, AI-driven ... Present research findings through presentations at scientific conferences and stakeholder meetings.

Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or ... Research Acumen: Ability to read, understand, and implement algorithms from academic research ...

Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or ... Research Acumen: Ability to read, understand, and implement algorithms from academic research ...

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving. - Support productizing and deploying perception algorithms to our self-driving vehicles ...

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Computer Vision Research information

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How much do computer vision research jobs pay per hour?

As of May 30, 2026, the average hourly pay for computer vision research in Texas is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.16 per hour, depending on experience, location, and employer.

What is a Computer Vision Research job?

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 the Computer Vision Research position, and why are they important?

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.
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 May 2026, with employment types broken down into 3% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $43,063 per year, or $20.7 per hour.
LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

Southwest Research Institute

San Antonio, TX • On-site

$92.50K - $121.80K/yr

Full-time

Posted 18 days ago


Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 56 rated research


Job description

Who We Are:
The Kinesioception Section develops automated perception and decision-support solutions for commercial and government clients in multiple domains, including human performance, data science, artificial intelligence, computer vision, machine learning, decision intelligence, and cognitive performance.
Objectives of this Role:
  • Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human performance optimization.
  • Guide junior staff and customers in R&D concepts and practices and implementation of decision-support solutions.
  • Provide recommendations to management regarding technical direction.
  • Capture new research projects with new and existing clients.
  • Establish an industry presence by presenting our research and networking at conferences, workshops, and symposiums.

Daily and Monthly Responsibilities:
  • Apply state-of-the art machine learning software solutions for various decision-support intelligent system applications.
  • Interact with team members and customers to discuss technical solutions to problems.
  • Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting).
  • Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems.

Requirements:
  • Requires a Bachelors, Masters or a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or directly related degree field- 3 years experience with PhD, 4 years experience with Masters, 5 years experience with Bachelors.
  • 3-5 years: Industry experience in software development, machine learning, biomedical, medical, or human performance optimization applications. Experience with neural network development and associated tools and frameworks preferred.
  • 1+ years: Business development experience; identifying and sourcing potential leads and customers; engaging with customers and identifying problem to be solved and developing statements of work; contract negotiation and closing the deal.
  • Experience with leading project teams, budgets, schedules, risk management; excellent written, verbal, interpersonal skills.
  • A valid/clear driver's license is required.

Special Requirements:
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
For benefits information at our San Antonio location, click here .
For benefits information at all other locations, click here .
An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.

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