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Google Engineer Jobs in Portland, OR (NOW HIRING)

Nike

Lead Engineer, Activity Apps

Beaverton, OR · On-site

$106K - $140K/yr

As a Lead Engineer, you'll be one of the senior technical voices on the team, partnering daily with ... Working familiarity with HealthKit and Health Connect / Google Fit, and integrations with third ...

Verizon

Outside Plant Engineer

Hillsboro, OR · On-site

As an Outside Plant Engineer, you will manage a variety of internal and external partners and ... Experience in Google Workspace (e.g. Gmail, Docs, Sheets, Slides, Drive, and Meet). * Willingness ...

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Showing results 21-40

All JobsGoogle Engineer JobsGoogle Engineer Jobs in Portland, OR

Google Engineer information

See Portland, OR salary details

$41.4K

$107.9K

$145.8K

How much do google engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for google engineer in Portland, OR is $107,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a Google engineer do?

A Google Engineer is a professional who designs, develops, tests, and maintains software and systems used by Google. They work on a wide range of projects, from search algorithms to cloud infrastructure, mobile apps, and cutting-edge AI technologies. Google Engineers collaborate in teams, solve complex technical problems, and contribute to products that impact billions of users worldwide. Their work environment emphasizes innovation, scalability, and high performance.

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

To thrive as a Google Engineer, you generally need strong programming skills (commonly in Python, Java, or C++), a solid foundation in computer science concepts, and at least a bachelor's degree in a related field. Familiarity with Google's internal tools, cloud platforms like Google Cloud, and industry-standard development environments is typical, and relevant certifications can be advantageous. Creative problem-solving, effective teamwork, and strong communication skills help engineers excel in collaborative and fast-paced environments. These skills and qualities are crucial for building scalable, high-quality products, innovating continuously, and contributing to Google's dynamic engineering culture.

How do Google engineers typically collaborate across teams to solve complex problems?

At Google, engineers often work in highly collaborative, cross-functional teams that include product managers, designers, and other engineers from different specialties. Regular meetings, code reviews, and design discussions are common to ensure alignment and to leverage diverse expertise. Collaboration tools like Google Workspace, version control systems, and internal documentation platforms help streamline communication and project management. This environment encourages sharing knowledge and best practices, enabling engineers to tackle complex technical challenges more effectively. New hires can expect to participate in both team-specific and company-wide initiatives, fostering continuous learning and innovation.

What is the difference between Google Engineer vs Software Engineer?

AspectGoogle Engineer

Required CredentialsBachelor's or Master’s in Computer Science or related field, coding skills, technical interviews
Work EnvironmentInnovative tech company, collaborative teams, fast-paced projects
Employer & IndustryGoogle, tech industry, software development

Google Engineers are specialized software developers working at Google, often involved in large-scale projects and cutting-edge technology. Software Engineers is a broader term used across many companies and industries, encompassing various roles in software development. While both roles require strong coding skills and similar qualifications, Google Engineers typically work within Google's unique environment and culture. The main difference lies in the specific employer and scope of projects, with Google Engineers focusing on Google's products and infrastructure.

Is it hard to become a Google engineer?

Becoming a Google engineer typically requires a strong background in computer science, programming skills in languages like Python or C++, and experience with algorithms and data structures. Candidates often need a bachelor's degree or higher, relevant technical experience, and to pass rigorous technical interviews that assess problem-solving and coding abilities.
Google Engineer jobs near you
Infographic showing various Google Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,909 per year, or $51.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gresham, OR • On-site

Other

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

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.

Apply