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Google Waterloo Jobs (NOW HIRING)

Google Waterloo, ON, Canada ; Toronto, ON, Canada ; +4 more ; +3 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise ...

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$95 - $140/hr

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Google Waterloo information

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$49K

$57.5K

$64.5K

How much do google waterloo jobs pay per year?

As of Aug 21, 2026, the average yearly pay for google waterloo in the United States is $57,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $61,500.00 per year, depending on experience, location, and employer.

What is Google Waterloo?

Google Waterloo is one of Google's major Canadian engineering offices, located in Waterloo, Ontario. Employees at Google Waterloo work on a variety of projects, including software development, product management, and research in areas like artificial intelligence, machine learning, and cloud computing. The office is known for its collaborative culture and is involved in developing products such as Gmail, Chrome, and Google Ads. It also offers internships and co-op positions for students from local universities.

What can I expect from the team structure and collaboration style at Google Waterloo?

At Google Waterloo, teams are typically organized around specific products or projects, fostering a highly collaborative and innovative environment. You'll work closely with engineers, product managers, UX designers, and occasionally cross-functional teams from other global offices. Regular stand-ups, code reviews, and brainstorming sessions are common, encouraging open communication and knowledge sharing. The culture supports mentorship and professional growth, allowing team members to learn from each other's expertise while contributing to impactful projects.

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

To thrive as a Software Engineer at Google Waterloo, you need strong programming skills (such as in Python, Java, or C++), a solid understanding of computer science fundamentals, and typically a degree in computer science or a related field. Familiarity with development tools like Git, cloud platforms, and large-scale distributed systems is highly valued. Excellent problem-solving abilities, teamwork, and effective communication help you collaborate and innovate within diverse teams. These skills and qualities are essential for building scalable, high-impact products and driving technological advancement at Google.

What is the difference between Google Waterloo vs Software Engineer?

AspectGoogle WaterlooSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science or related field; coding skillsBachelor's or higher in Computer Science or related field; coding skills
Work EnvironmentTech company campus, collaborative teams, innovative projectsVaries by employer, typically office-based, project-driven
Industry UsagePrimarily in tech companies, especially Google and similar firmsAcross tech, finance, startups, and more
Search & Comparison IntentUnderstanding roles at Google WaterlooGeneral software engineering roles

Google Waterloo is a specific location-based role within Google's global operations, focusing on software development, while Software Engineer is a broader job title applicable across many companies and industries. Both roles require similar technical credentials and work environments, but Google Waterloo offers unique opportunities within Google's ecosystem.

More about Google Waterloo jobs

What states have the most Google Waterloo jobs?

States with the most job openings for Google Waterloo jobs include:

Infographic showing various Google Waterloo job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $57,500 per year, or $27.6 per hour.

Staff Applied AI Agent Developer

Google Inc.

Kirkland, WA • On-site

$207 - $300/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

Google Waterloo, ON, Canada ; Toronto, ON, Canada ; +4 more ; +3 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

X This posting is for a new vacancy. Google utilizes AI tools to assess candidates in our hiring processes. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; New York, NY, USA; Sunnyvale, CA, USA; Kirkland, WA, USA.

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
  • Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
  • Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.
About the job

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Staff Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Staff Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Canada: $216000 - $221000 (CAD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

  • Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
  • Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
  • Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
  • Serve as a critical feedback loop to our core Product and Development teams. Synthesize insights from the field to influence product strategy, identify feature gaps.
  • Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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