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Computer Vision Engineer Jobs in Houston, TX (NOW HIRING)

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... Computer vision models * Defect detection * Asset condition monitoring * Digital twin platforms

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Build NLP, computer vision, or predictive analytics solutions * Train, test, and evaluate models ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Build NLP, computer vision, or predictive analytics solutions * Train, test, and evaluate models ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

BIGDATAAPPTECH LLC

Senior AL/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Build applications leveraging Natural Language Processing (NLP) and Computer Vision. Collaborate ... Qualifications Bachelor s or master s degree Computer Science, Engineering, or related field.

Great Lakes Dredge and Dock

CAD Engineer

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

CAD ENGINEER The Opportunity: We are currently seeking CAD Engineer to join our team. Ideal ... Medical, Dental, Vision, Prescription, Life and LTD insurance plans * 401(k) program that provides ...

Hp

Expert Technical Program Manager (TPM)

Spring, TX

$114K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... and computer vision-enabled solutions . This role partners across Engineering, Product, QA, Security, and external partners to drive predictable delivery, ensure release readiness, and uphold ...

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

Houston, TX · On-site

  • Medical

  • Vision

  • Life

  • PTO

... computer vision solutions, and large-scale data platforms. We are a deep-tech robotics company ... high-impact engineering problems · Generous compensation, including stock options, plus full ...

NOV, Inc.

Senior Robotics Engineer

Houston, TX · Hybrid

$99K - $131K/yr

... computer vision. * Research, assess, and where necessary design software (optional) and hardware ... Degree in a related engineering field with practical experience in robotics and/or industrial ...

National Oilwell Varco

Senior Robotics Engineer

Houston, TX · Hybrid

$99K - $131K/yr

... computer vision. * Research, assess, and where necessary design software (optional) and hardware ... Degree in a related engineering field with practical experience in robotics and/or industrial ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Houston, TX

Computer Vision Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do computer vision engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer vision engineer in Houston, TX is $116,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs

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For Computer Vision Engineer jobs in Houston, TX, the most frequently searched job titles are:

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Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $116,044 per year, or $55.8 per hour.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX

Full-time

Posted 19 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow

This matters as much to us as what you'll ship.

  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
QualificationsRequired:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

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