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Google Computer Engineering Jobs in Texas (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field and 5 years of ... About the job Google Cloud accelerates every organization's ability to digitally transform its ...

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Bachelor's in Computer Science, Computer Engineering, CIS, MIS, or equivalent experience. * 5+ ... Test-first mindset with unit testing frameworks (Google Test, cppUnit, etc.). * Test automation ...

Bachelor's in Computer Science, Computer Engineering, CIS, MIS, or equivalent experience. * 5+ ... Test-first mindset with unit testing frameworks (Google Test, cppUnit, etc.). * Test automation ...

Computer Vision * Prompt Engineering * LangChain / LangGraph * Hugging Face * AWS / Azure / Google Cloud Platform * Docker * MLflow / MLOps * REST APIs * Git/GitHub Responsibilities * Develop and ...

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of ...

Leading and mentoring junior team members in SOC engineering, including SIEM, SOAR, and process ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Leading and mentoring junior team members in SOC engineering, including SIEM, SOAR, and process ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Leading and mentoring junior team members in SOC engineering, including SIEM, SOAR, and process ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Bachelor's/Master's in Computer Science, Information Systems, or equivalent. * Google Cloud Professional Cloud Architect (required or within 3 months). (Preferred: Professional Data Engineer ...

... Computer Engineering, or a related STEM discipline * 5-8+ years of experience designing and leading enterprise cloud solutions * Extensive experience architecting and deploying Google Cloud Platform ...

Bachelor's degree in Computer Science, Engineering or a related technical field. * 6+ years ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Showing results 41-60

Google Computer Engineering information

What does a Google computer engineer do?

A Google Computer Engineer designs, develops, tests, and maintains software and hardware systems that power Google's products and services. Their responsibilities can range from coding and debugging to optimizing large-scale infrastructure and ensuring security and reliability. They often work collaboratively with cross-functional teams to solve complex technical challenges and deliver innovative solutions that impact millions of users worldwide.

What are the key skills and qualifications needed to thrive as a Google computer engineer?

To thrive as a Google Computer Engineer, you need a strong background in computer science fundamentals, programming proficiency (especially in languages like Python, Java, or C++), and typically a relevant degree in computer science or engineering. Familiarity with development tools, cloud platforms (such as Google Cloud), version control systems like Git, and sometimes specific certifications are highly valuable. Exceptional problem-solving, collaboration, and communication skills set top performers apart in this role. These abilities ensure you can design scalable solutions, contribute effectively to teams, and drive innovation in a fast-paced tech environment.

How do computer engineers at Google typically collaborate with cross-functional teams on large-scale projects?

At Google, computer engineers often work closely with product managers, designers, and other engineering teams to deliver complex, large-scale solutions. Collaboration usually involves regular meetings, code reviews, and the use of agile methodologies to track progress and align on goals. Engineers are expected to communicate effectively, contribute ideas, and integrate feedback from diverse team members. This collaborative environment not only fosters innovation but also helps computer engineers develop strong teamwork and leadership skills, which are valuable for career advancement within the company.

What is the difference between Google Computer Engineering vs Google Software Engineering?

AspectGoogle Computer EngineeringGoogle Software Engineering
Required CredentialsBachelor's or higher in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentDesigning hardware-software integration, embedded systems, hardware optimizationDeveloping, testing, and maintaining software applications and systems
Employer & Industry UsageHardware development teams, embedded systems, IoT devicesWeb, mobile, cloud services, and application development teams

Google Computer Engineering focuses on hardware-software integration, embedded systems, and hardware optimization, while Google Software Engineering emphasizes software development, coding, and system design. Both roles require strong technical skills but differ in their primary focus areas within Google's tech ecosystem.

What are popular job titles related to Google Computer Engineering jobs in Texas?

For Google Computer Engineering jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Google Computer Engineering jobs?

Cities in Texas with the most Google Computer Engineering job openings:

Infographic showing various Google Computer Engineering job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution.

Forward Deployed Engineer (FDE) Agentic AI & Enterprise Solutions

HAN IT Staffing Inc.

Plano, TX • On-site

Other

Posted 2 days ago

New


Job description

JD: Lead FDE - Contact CenterAs an AI Lead Architect, you will be in charge of designing and implementing AI capabilities for Enterprise level applications. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions.|As a highly qualified individual with proven experience you will be architecting and deploying enterprise-scale cloud platforms and solutions on Google Cloud Platform.|This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team.Responsibilities|Design and develop AI applications and infrastructure.Consult external customers on tech and solutions, Scope engagements, own timeline & acceptance criteria, coordinate team, maintain onboarding-to-handoff playbookCollaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.Stay current with the latest AI trends and technologies, especially Google Google Cloud Platform Create and maintain AI models and algorithms.Conduct AI research to improve existing systems and develop new technologies.Identify opportunities for AI solutions within the organization and propose strategic plans.Train team members and stakeholders on AI and its applications.Ensure compliance with data privacy regulations in AI applications.Monitor the performance of AI systems and make necessary adjustments.Required Skills4 year bachelor s degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science. Proven experience as an AI Architect or similar role in the industry. Strong knowledge of AI technologies, specifically Google Google Cloud Platform . Understanding of data structures, data modeling, and software architecture. Ability to work collaboratively with a diverse team of engineers and developers. Strong communication and project management skills.Nice to HaveKnowledge of data privacy regulations and practices. Experience in training team members on AI technologies and applications. Strong problem-solving skills and the ability to think strategically.Work Experience 7-10Years

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About Han Staffing

Sourced by ZipRecruiter

HAN Staffing was born in 2012, out of the real world experience of individuals who worked in the trenches of the Recruitment Industry. Individuals who have staffed at some of the biggest names in Finance, Retail, Hospitality, Healthcare, Financial and Business Consulting as well as small Businesses. In the last five years, we have witnessed 200% growth and an always increasing roster of Satisfied Clients, thanks to our never say die Recruiting attitude. We are the only Staffing Company who stay by your side until the very end, with a leadership team that is available 24/7. Our goal is to work as a trusted adviser and partner to your business, adding value to your Recruitment efforts. Whether you are a large Corporation or a Small Business trying to find the perfect talent, we serve you with passion and perseverance to meet your needs with excellence.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Iselin, NJ, US

Year founded

2012

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