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

Lead AI Engineer - Bengaluru, INDIA

Prosper, TX · On-site +1

$93K - $123K/yr

... computer vision, and predictive analytics. * Fine-tune LLMs using LoRA/QLoRA and integrate with ... Azure DevOps. * Strong understanding of ML lifecycle and MLOps best practices. * Experience with ...

Software Systems Engineer

Richardson, TX · On-site

$72K - $124K/yr

As a Software Systems Engineer or Staff Systems Engineer in physical AI, develop physical AI ... AI/ML IREE, PyTorch or TensorFlow, Reinforcement Learning, and Computer Vision. * Systems Tools ...

Senior AI/ML Engineering Location: Plano, Texas Years of Experience: 10 to 15 Years Rate: Job ... Knowledge of natural language processing (NLP) and computer vision techniques. Experience in Agile ...

AI Data Engineer - Manager

Dallas, TX

$113K - $136K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement

Principal SDET

Westlake, TX

$129K - $173K/yr

... computer vision, machine learning, sensor fusion, coaching workflows, reporting, alert management ... Work with engineering and infrastructure teams on strategy and maintenance for required TDD/CI/CD ...

Programming languages: Python (proficient) with major ML libraries * Experience with opensource Gen ... and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

Principal Software Engineer

Westlake, TX · On-site

$129K - $173K/yr

... computer vision for applications like driver monitoring or vehicle inspection Understanding of time-series analysis and forecasting for fleet operations Experience with recommender systems and ...

Principal Software Engineer

Westlake, TX · On-site

$129K - $173K/yr

... computer vision for applications like driver monitoring or vehicle inspection Understanding of time-series analysis and forecasting for fleet operations Experience with recommender systems and ...

Principal SDET

Westlake, TX · On-site

$129K - $173K/yr

... computer vision, machine learning, sensor fusion, coaching workflows, reporting, alert management ... SW Engineering, DevOps, and other technical teams in release planning and coordination. • ...

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

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Showing results 1-20

Computer Vision Engineer information

See Frisco, TX salary details

$45.4K

$113.7K

$128.7K

How much do computer vision engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer vision engineer in Frisco, TX is $113,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $123,100.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

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.
What are popular job titles related to Computer Vision Engineer jobs in Frisco, TX? For Computer Vision Engineer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Frisco, TX look for? The top searched job categories for Computer Vision Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Computer Vision Engineer jobs? Cities near Frisco, TX with the most Computer Vision Engineer job openings:
Software Systems Engineer

Software Systems Engineer

Globalfoundries

Richardson, TX

$72K - $124K/yr

Full-time

Posted 19 days ago


GlobalFoundries rating

8.2

Company rating: 8.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

80th of 518 rated manufacturers


Job description

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:

As a Software Systems Engineer or Staff Systems Engineer in physical AI, develop physical AI software development kit and related demonstrations for robotics and support customer use cases in other machine learning inference applications.

Essential Responsibilities:

  • Integrated Design & Simulation: Using industry standard tools to test and develop physical AI and robotics technology
  • Sensor Fusion & Perception: Calibrating and integrating vision, touch sensors, and motor control to help the system perceive its environment.
  • System Requirements & Architecture: Defining the "Source of Truth" for the project-mapping out how data flows to and from central compute, sensors and motors with a neural network controller.
  • Testing & Validation: Prototyping and conducting hardware-in-the-loop (HIL) testing using embedded computers to ensure behavior in the real world.

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

  • Studies in embedded systems or software, artificial intelligence, real-time computing or similar field
  • Familiarity with embedded systems like Raspberry Pi or BeagleBone
  • Education -Bachelor's or master's in electrical engineering, Computer Engineering or Computer Science or related field through an accredited degree program
  • Language Fluency - English (Written & Verbal)
  • Travel - Up to 10% of the time

Preferred Qualifications:

  • Ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
  • Strong written and verbal communication skills
  • Strong planning & organizational skills
  • Robotics Frameworks: ROS2 (Robot Operating System) and associated tools like MoveIt and Drake.
  • Programming Python (for AI/ML) and C/C++ (for real-time systems).
  • AI/ML IREE, PyTorch or TensorFlow, Reinforcement Learning, and Computer Vision.
  • Systems Tools SysML, MATLAB/Simulink, and Docker for deployment.
  • Real-time motor control, RTOS, embedded systems

GlobalFoundriesis an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity,efficiencyand innovation whilst our employees feel truly respected,valuedand heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment withGlobalFoundriesare conditioned upon the successful completion of background checks,medical screenings as applicable and subject to the respective local laws and regulations.

Expected Salary Range

$72,000.00 - $124,800.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law


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