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Machine Vision Software Engineer Jobs in Texas (NOW HIRING)

About the Role As a CBRE Software Engineer, you will play a critical role in shaping the future of ... This includes actively leveraging and building cutting-edge AI/Machine Learning, Data, and ...

Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ... machine learning, research infrastructure and big data computing. What's more, with world-class ...

Comprehensive health, mental, dental, vision, disability, and life coverage * 25 paid vacation days ... machine learning, research infrastructure and big data computing. What's more, with world-class ...

The AI Software Engineer will focus on optimizing machine learning models for efficiency and reliability, collaborating closely with AI Scientists to enhance production-grade software.

Sr. Software Engineer

Dallas, TX · On-site

$170K - $220K/yr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Software Engineer I Location: Houston, TX? Position details: Contract?(W2) We are seeking a ... Exposure to machine learning, forecasting, optimization, or statistical modeling techniques.

Opportunity PeopleTec is currently seeking a Software Engineer to support our El Paso, TX location ... Stay up to date with the latest advances in machine learning infrastructure and operations to ...

PeopleTec is currently seeking a Software Engineer to support our El Paso, TX location. Duties ... Stay up to date with the latest advances in machine learning infrastructure and operations to ...

Opportunity PeopleTec is currently seeking a Software Engineer to support our El Paso, TX location ... Stay up to date with the latest advances in machine learning infrastructure and operations to ...

Responsibilities PeopleTec is currently seeking a Software Engineer to support our El Paso, TX ... Stay up to date with the latest advances in machine learning infrastructure and operations to ...

Showing results 41-60

Machine Vision Software Engineer information

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

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

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What cities in Texas are hiring for Machine Vision Software Engineer jobs? Cities in Texas with the most Machine Vision Software Engineer job openings:
Infographic showing various Machine Vision Software Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Software Engineer

CBRE

Richardson, TX • On-site

Full-time

Re-posted 26 days ago


CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 349 frontline employees who took The Breakroom Quiz

103rd of 485 rated business services


Job description

About the Role
As a CBRE Software Engineer, you will play a critical role in shaping the future of technology in commercial real estate (CRE). You'll design, develop, and implement innovative software solutions that power our next-generation platforms, directly contributing to the AI transformation of the business. This includes actively leveraging and building cutting-edge AI/Machine Learning, Data, and predictive analytics technologies to deliver enhanced client solutions, drive operational excellence, and create a significant competitive advantage for our products and platforms.
You'll thrive within a dynamic, cross-functional global team, contributing across the full software development lifecycle - from conceptualization to deployment and monitoring. Applying foundational engineering practices, you will ensure the delivery of high-quality, reliable, secure, cost-optimal, and scalable software that facilitates impactful change management and accelerates business objectives. This is an incredible opportunity to be at the heart of our digital innovation, making a tangible impact on core business processes and helping solidify CBRE's industry leadership. If you're ready to architect the future of real estate and be part of a world-class engineering team that builds groundbreaking, innovative products, seize this chance to make a monumental impact.
Responsibilities
Software Development & Delivery: Execute the full Software Development Life Cycle (SDLC) to build high-quality, innovative, and performant software. You will actively participate in feature development from exploration through release, contributing robust code, comprehensive documentation, and thorough testing.
Technical Excellence: Apply foundational and in-depth engineering principles and techniques to accomplish complex assignments and provide innovative solutions. This includes participating in code reviews, giving and receiving constructive feedback, troubleshooting, debugging, and upgrading existing systems.
AI/ML Integration: Leverage and integrate cutting-edge AI/Machine Learning and Large Language Models (LLMs) into applications, including prompt design, evaluation, and seamless integration. You will also contribute to building and refining machine learning workflows and AI agents, and help evaluate model performance by running experiments, monitoring outputs, and documenting results to guide team decisions.
Operational Support: Support integration efforts by writing code, testing components, and validating data flows. You will also utilize CI/CD pipelines, follow deployment processes, and support build automation under guidance, ensuring efficient and reliable software delivery.
Collaboration & Communication: Work effectively within a dynamic, cross-functional global team, collaborating closely with engineers, designers, and product teammates to deliver features and improvements.
Problem Solving & Innovation: Exercise judgment based on the analysis of multiple sources of information, taking new perspectives on existing solutions. You will be expected to identify and solve complex technical challenges, significantly impacting customer experience and operational activities.
Ownership & Initiative: Demonstrate flexibility and initiative, taking ownership of assigned tasks and striving for continuous improvement and innovation in your work.
Agility & Change Agent: Exhibit strong technical agility by embracing change, taking initiative to explore emerging technologies, and quickly integrating new tools and practices into our development processes.
Values Alignment: Lead by example and model behaviours consistent with CBRE RISE values. You will contribute to building consensus and influencing others, while providing efficient, timely, reliable solutions.
Required Skills
Education and Experience
• Minimum of a Bachelor's degree in Computer Science or Engineering.
• Typically has 1-3 years of relevant work experience.
• Consideration given to equivalent combination of education and experience.
• At least 1 year of experience in the Software Development Life Cycle (SDLC).
• At least 1 year of experience in full-stack software development using Java Technologies such as Java Spring Boot.
• At least 1 year of experience in one of the Cloud Technologies of AWS, GCP, or Azure.
• At least 1 year of experience in database development like SQL Server, PostgresDB, Oracle, etc.
• At least 1 year of experience with RESTful APIs or Microservices.
• Knowledge of Data Science fundamentals and Data Engineering.
Personal Attributes
Strong engineering and technology background - ability to learn quickly and go deep into solutions.
Effective communicator: Excellent listener; proven collaborator with peers, and broader team.
Bold: Takes smart, calculated risks and leads through change.
Passionate: Bring energy and enthusiasm to the job and organization.
Outcome Focused: Consistently attain/exceed individual & team goals while solving constraints through creative problem solving.
Reasoning Ability: Ability to comprehend, analyze, and interpret complex problems. Ability to solve problems involving several options in situations. Requires advanced analytical and quantitative skills.
Good to Have
• Master's degree in Computer Science or Engineering.
• 1-3 years' experience with a Front-End Framework such as VueJS, React, or Angular.
• 1-3 years' experience with developing AI/ML models.
• 1-3 years' experience with Agile project management tools (e.g., JIRA, Version One, ADO).
• 1-3 years' experience with CI/CD tools (e.g., Jenkins or other tools).
• 1-3 years' experience with Application Monitoring and observability tools (e.g., Datadog, Kibana).
• Knowledge of NoSQL Databases like Postgresql, DynamoDB.
• Optional knowledge on Python, Angular, .NET, SQL Server.
Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

What CBRE employees say

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Benefits

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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