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

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

... for computer vision and IRAS-based item recognition systems Implement data and model monitoring ... Engineering 3. CI/CD 4. Experience with MLOps-driven data science outcomes and handling ML ...

Texas Instruments

AI/ML Engineer

Richardson, TX · On-site

Computer Vision basics - working knowledge of image processing and computer vision techniques ... Software engineering practices - proficiency with Git/GitHub, JIRA, issue tracking; ability to ...

Spectral MD Inc

Software Engineer

Dallas, TX · On-site

This position will assist in the integration of computer vision algorithms into our Windows-based ... The software engineer will work closely with Data Science, Algorithm, and UI/UX teams to integrate ...

Sincera Technologies, Inc.

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer - Isaac Sim / Physical AI Experience: 8-12 Years Key Responsibilities & Skills ... Experience with robotics simulation, reinforcement learning, computer vision , or autonomous ...

Empowered

Full Stack Developer

Dallas, TX

Our approach emphasizes unique computer vision applications, retrofitting AI into existing ... We are looking for a Full Stack Developer with experience in AI, large language models (LLMs), and ...

DHL eCommerce

Project Engineer

Irving, TX · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

DHL eCommerce

Project Engineer

Irving, TX · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

ONEOK, Inc

AI Engineer

Dallas, TX

The AI Engineer is responsible for the most technically demanding work - advanced algorithms ... Develop numerical optimization, forecasting, computer vision, and anomaly detection capabilities in ...

DHL eCommerce

Project Engineer

Irving, TX · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial, System Engineering or Mechanical Engineering is preferred. * 2 years of work experience ...

DHL eCommerce

Project Engineer

Irving, TX · Hybrid

The Project Engineer will support multiple strategic and tactical projects related to parcel ... Support computer vision and AI-related automation initiatives, including pilots and trials ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Collaborate with data scientists and software engineers to design and implement scalable and ... Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience ...

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Showing results 41-60

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

Computer Vision Engineer information

See Richardson, TX salary details

$44K

$110.4K

$124.9K

How much do computer vision engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer vision engineer in Richardson, TX is $110,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $119,400.00 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
What job categories do people searching Computer Vision Engineer jobs in Richardson, TX look for? The top searched job categories for Computer Vision Engineer jobs in Richardson, TX are:
What cities near Richardson, TX are hiring for Computer Vision Engineer jobs? Cities near Richardson, TX with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Richardson, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $110,352 per year, or $53.1 per hour.

AI/ML Engineer

Winaxis

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 20 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)