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Google Computer Engineering Jobs in Fort Worth, TX

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Master's/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer). * Experience with GenAI frameworks (PaLM, Gemini). Integration ...

Google

Senior Software Engineer

Addison, TX · On-site

$118K - $156K/yr

Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with ... About the job Google's software engineers develop the next-generation technologies that change how ...

3B Staffing LLC

C++ Software Engineer

Dallas, TX

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 ...

3B Staffing LLC

C++ Software Engineer

Dallas, TX

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 ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

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

Deloitte

Cyber - Google SecOps - Manager

Dallas, TX · On-site

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 ...

Tror AI for everyone

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 ...

Deloitte

Google AI Architect

Dallas, TX · On-site

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.

Google

Technical Program Manager

Addison, TX · On-site

$124K - $161K/yr

... Computer Science or a related field and 2 years of experience in the job offered or in a Technical ... that leverage Google's cutting-edge technology, and tools that help developers build more ...

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All JobsGoogle Computer Engineering JobsGoogle Computer Engineering Jobs in Fort Worth, TX

Google Computer Engineering information

See Fort Worth, TX salary details

$46.5K

$116.5K

$131.8K

How much do google computer engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for google computer engineering in Fort Worth, TX is $116,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $126,000.00 per year, depending on experience, location, and employer.

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 Fort Worth, TX?

For Google Computer Engineering jobs in Fort Worth, TX, the most frequently searched job titles are:

What job categories do people searching Google Computer Engineering jobs in Fort Worth, TX look for?

The top searched job categories for Google Computer Engineering jobs in Fort Worth, TX are:

Google Computer Engineering jobs near you
Infographic showing various Google Computer Engineering job openings in Fort Worth, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Contract, and 2% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $116,459 per year, or $56 per hour.

Computer Vision Engineer (Hybrid :: W2 Only)

VAAM Technologies

Coppell, TX • On-site

$103K - $122K/yr

Other

Posted 17 days ago

Job description

Experience

  • 3 5 years of hands-on experience building computer vision and machine learning models.
  • Proven track record taking models from experimentation to production.

Skills

  • Proficiency in both modern AI-based CV models (CNNs, transformers, embeddings) and traditional computer vision
  • Strong Python skills for CV/ML development, data processing, and experimentation.
  • Experience with PyTorch or TensorFlow.
  • Hands-on experience with detection, segmentation, classification, and image/video analysis.
  • Practical knowledge of computer vision hardware-cameras, sensors, lighting, and edge devices-and the real-world constraints that affect data quality and model performance.
  • Experience with broader ML problems: time-series modeling, anomaly detection, clustering, and data analysis.

Abilities

  • Strong analytical and performance-debugging skills.
  • Able to evaluate model options and turn business problems into practical AI solutions.
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering or a related field.

Preferred Qualifications

  • Experience deploying models to edge devices or optimizing for inference (quantization, pruning, TensorRT, ONNX).
  • Familiarity with MLOps practices: experiment tracking, model versioning, and drift/performance monitoring.
  • Experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and GPU-based training.
  • Experience working with retail, IoT, or real-world imaging datasets.

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