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Computer Vision Software Engineer Jobs in Texas (NOW HIRING)

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

The Computer Vision Engineer will contribute to the requirements elicitation process, facilitate software application design discussions, and participate in coding and integrating new features into ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... Facilitate software application design discussions, and document design decisions to guide the ... Required Skill and Experience - Expertise in developing real-time computer vision models - Python ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... Collaborate with autonomy, flight software, and hardware teams to define camera, sensor, and ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$117K - $154K/yr

Collaborate closely with crossfunctional teams (AI platform, software engineering, domain experts ... Demonstrated contributions to computer vision research, including peerreviewed publications ...

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Computer Vision Software Engineer information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do computer vision software engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for computer vision software engineer in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Software Engineer, and why are they important?

To thrive as a Computer Vision Software Engineer, you need strong programming skills (particularly in Python or C++), a solid background in mathematics and algorithms, and a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), OpenCV, and familiarity with computer vision libraries and cloud platforms is highly valuable. Creative problem-solving, attention to detail, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing, optimizing, and deploying innovative computer vision solutions that address real-world challenges.

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

AspectComputer Vision Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of 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, often in tech, automotive, or healthcare industriesBuilds models for various data types, including images, text, and tabular data, across multiple industries
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, startups, research institutions

While both roles involve machine learning concepts, Computer Vision Software Engineers focus specifically on image and video data, developing algorithms for visual understanding. Machine Learning Engineers have a broader scope, working on various data types and models. The roles often overlap but differ mainly in their specialization and application areas.

What are some common challenges Computer Vision Software Engineers face when deploying models to production environments?

One frequent challenge for Computer Vision Software Engineers is optimizing models to run efficiently in production, especially on devices with limited processing power or memory. Additionally, ensuring that models remain robust when exposed to real-world data—which may differ significantly from training data—requires ongoing monitoring and potential retraining. Collaboration with data engineers and DevOps teams is often essential to streamline deployment pipelines and address issues like data drift or latency. Staying updated with rapidly evolving frameworks and hardware accelerators is also key for success in this role.

What are Computer Vision Software Engineers?

Computer Vision Software Engineers are professionals who design, develop, and implement software solutions that enable computers to interpret and process visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to build applications like facial recognition, object detection, and autonomous vehicles. Their work often involves programming, working with large datasets, and optimizing algorithms for accuracy and speed. These engineers are crucial in industries ranging from healthcare and automotive to security and entertainment.
What are popular job titles related to Computer Vision Software Engineer jobs in Texas? For Computer Vision Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Vision Software Engineer jobs in Texas look for? The top searched job categories for Computer Vision Software Engineer jobs in Texas are:
Computer Vision Software Engineer jobs near you
Computer Vision Engineer

Computer Vision Engineer

Infosys

Grapevine, TX • On-site

$103K - $121K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

97th of 204 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, helping clients navigate their digital transformation. The Computer Vision Engineer will contribute to the requirements elicitation process, facilitate software application design discussions, and participate in coding and integrating new features into existing applications.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Expertise in developing real-time computer vision models
• Python, Pytorch, tensorflow
• CV/ML model development
• Object recognition/Detection
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• NVIDIA technologies
• MLOps
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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