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Google Test Engineer Jobs in Massachusetts (NOW HIRING)

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Google Test Engineer information

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$19

$48

$81

How much do google test engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for google test engineer in Massachusetts is $48.32, according to ZipRecruiter salary data. Most workers in this role earn between $36.49 and $57.21 per hour, depending on experience, location, and employer.

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

To thrive as a Google Test Engineer, you need a solid background in software engineering, programming (such as Python, Java, or C++), and experience with test automation and QA methodologies. Familiarity with test frameworks like Selenium, Appium, or Google’s in-house tools, as well as CI/CD systems and cloud platforms, is commonly expected. Strong communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These qualities are crucial for ensuring product quality, driving efficient testing processes, and working effectively within Google’s fast-paced, innovative teams.

What are some common challenges faced by Google Test Engineers, and how do they overcome them?

Google Test Engineers often work on complex, large-scale software products that require extensive automated and manual testing across multiple platforms. A common challenge is keeping up with rapid development cycles while ensuring test coverage and maintaining high-quality standards. Test Engineers overcome these challenges by collaborating closely with developers and product managers, utilizing advanced automation tools, and participating in regular code reviews and sprint planning. Proactive communication and adaptability help them identify issues quickly and implement solutions efficiently, making them key players in Google's agile development environment.

What is a Google Test Engineer?

A Google Test Engineer is responsible for ensuring the quality and reliability of Google's products through rigorous testing and automation. They design test plans, create automated testing frameworks, and collaborate with developers to identify and fix software issues. Test Engineers work with large-scale systems, debugging complex problems, and improving overall product performance. Their role is critical in maintaining Google's high standards for user experience and software quality.

What are the most commonly searched types of Google Test Engineer jobs in Massachusetts? The most popular types of Google Test Engineer jobs in Massachusetts are:
What are popular job titles related to Google Test Engineer jobs in Massachusetts? For Google Test Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Google Test Engineer jobs in Massachusetts look for? The top searched job categories for Google Test Engineer jobs in Massachusetts are:
Infographic showing various Google Test Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $100,505 per year, or $48.3 per hour.

Software Engineer Level 4 - AI

Boeing Future of Flight

Cambridge, MA • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Software Engineer Level 4 - AI (Contract)

Cambridge, MA, United States (On-site)

Contract (1 year)

Published 9 days ago

On hold

AI

This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.

Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in‑production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).

  • Leads design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
  • Ability to lead and help junior engineers in accomplishing technical engineering activities.
  • Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.
  • Understanding of CI/CD practices and experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows a plus.
  • Ability to collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments a plus.
  • Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Experience in C, C++, Python, or modern coding languages.
  • Familiarity with ADA or avionics software is a plus.
  • Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
  • Excellent documentation and communication skills for effective collaboration with cross-functional teams.
Basic Qualifications (Required Skill/Experience)
  • Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.
  • Must be able to work onsite in Cambridge, MA.
  • No relocation offered.
Preferred Qualifications (Desired Skills/Experience)
  • Education or experience in AI Algorithms and/or use of AI Tools.
  • Ability to obtain a U.S. Security Clearance if sponsored.

Benefits Information

Optional Benefits: Medical, Dental, Vision, 401K

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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