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Computer Science Google Jobs in Hawaii (NOW HIRING)

Help Desk Technician

Honolulu, HI · On-site

$28.85 - $36.54/hr

Qualifications * A bachelor's degree in computer science, Engineering, or MIS (Management ... Google Certification.) * Basic knowledge of support and operations practice, concepts, and ...

Qualifications * A bachelor's degree in computer science, Engineering, or MIS (Management ... Google Certification.) * Basic knowledge of support and operations practice, concepts, and ...

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Artificial ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cloud Automation Engineer

Honolulu, HI · On-site

$55 - $73.75/hr

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Information Technology ... Expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) * Strong scripting skills in Python ...

Senior Network Engineer

Wahiawa, HI · On-site

$116K - $210K/yr

Bachelor's degree in Computer Science, IT, Network Engineering, or related field * 12-15 years of ... Experience with cloud networking (AWS, Azure, Google Cloud) * Knowledge of network monitoring tools ...

Bachelor's degree in Computer Science, IT, Network Engineering, or related field * 12-15 years of ... Experience with cloud networking (AWS, Azure, Google Cloud) * Knowledge of network monitoring tools ...

Bachelor's degree in Computer Science, IT, Network Engineering, or related field * 12-15 years of ... Experience with cloud networking (AWS, Azure, Google Cloud) * Knowledge of network monitoring tools ...

Bachelor's degree in Computer Science, IT, Network Engineering, or related field * 12-15 years of ... Experience with cloud networking (AWS, Azure, Google Cloud) * Knowledge of network monitoring tools ...

Bachelor's degree in Computer Science, IT, Network Engineering, or related field * 12-15 years of ... Experience with cloud networking (AWS, Azure, Google Cloud) * Knowledge of network monitoring tools ...

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Computer Science Google information

See Hawaii salary details

$34.8K

$50.2K

$66K

How much do computer science google jobs pay per year?

As of Jun 10, 2026, the average yearly pay for computer science google in Hawaii is $50,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $57,700.00 per year, depending on experience, location, and employer.

What opportunities for career growth and development are available to computer science professionals at Google?

Computer science professionals at Google enjoy a wide range of career development opportunities, including technical and leadership tracks, mentorship programs, and internal mobility options. Google encourages continuous learning through free access to courses, workshops, and attendance at industry conferences. Team members can work on diverse projects, collaborate with experts in various fields, and often rotate between teams to broaden their experience. This dynamic environment supports both vertical advancement and the chance to develop broader technical expertise over time.

What is a Computer Science Google job?

A Computer Science job at Google typically involves developing, testing, and optimizing software, algorithms, or systems that power Google’s products and services. Roles may include Software Engineer, Machine Learning Engineer, Site Reliability Engineer, and more. Employees work on large-scale computing challenges, AI advancements, and performance improvements. Strong programming skills, problem-solving abilities, and experience with data structures and algorithms are crucial for these roles.

What are the key skills and qualifications needed to thrive in the Computer Science Google position, and why are they important?

To excel in a Computer Science role at Google, candidates typically need strong programming skills, a solid understanding of algorithms and data structures, and a degree in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, and experience using version control systems, cloud platforms, and technical certifications such as Google Cloud Certification are often advantageous. Excellent problem-solving abilities, effective teamwork, and strong communication skills distinguish outstanding candidates in this role. These qualifications are essential to tackling complex technical challenges, collaborating across diverse teams, and driving innovation at a leading technology company.

What are popular job titles related to Computer Science Google jobs in Hawaii? For Computer Science Google jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Computer Science Google jobs in Hawaii look for? The top searched job categories for Computer Science Google jobs in Hawaii are:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Waipahu, HI • Remote

Other

Posted 18 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

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

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.