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Google Software Engineer Jobs in Quebec (NOW HIRING)

... OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and ... Five (5) years or more building and shipping production software and/or ML systems, ideally in ...

... Google Cloud Platform (GCP) and VAST. H2O.ai's AI for Good program supports nonprofit groups ... We are looking for individuals with a strong foundation in software engineering, a passion for ...

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Google Software Engineer information

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$35K

$112.7K

$172.5K

How much do google software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google software engineer in Quebec is $112,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a Google software engineer?

A Google Software Engineer is responsible for designing, developing, testing, and maintaining software solutions that power Google's products and services. They work on large-scale systems, collaborate with cross-functional teams, and use languages like C++, Java, and Python. Engineers at Google solve complex technical challenges and contribute to high-performance, scalable applications.

What does a Google software engineer do?

Google Software Engineers typically work in cross-functional teams alongside product managers, UX designers, and other engineers. You'll regularly participate in code reviews, design discussions, and agile ceremonies to ensure the delivery of high-quality software. Collaboration often extends beyond the immediate team, offering opportunities to share knowledge, mentor peers, and contribute to company-wide technical initiatives. This team-oriented approach allows engineers to learn from different perspectives, accelerate their growth, and deliver more impactful solutions.

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

To thrive as a Google Software Engineer, you need strong skills in computer science fundamentals, programming (particularly in languages like Java, C++, or Python), and a relevant degree or equivalent experience. Familiarity with advanced development tools, distributed systems, cloud infrastructure (such as Google Cloud Platform), and sometimes technical certifications is highly valued. Excellent problem-solving abilities, communication, and teamwork are standout soft skills in this environment. These skills are essential for building scalable products, collaborating in high-impact teams, and driving innovation at a large tech company.

Does Google still hire software engineers?

Yes, Google continues to hire software engineers to support its technology development, product teams, and infrastructure. The company regularly posts job openings requiring skills in programming, data structures, and cloud technologies, and the hiring process typically involves technical interviews and coding assessments.

Is it hard to get a job at Google as a software engineer?

Getting a software engineering job at Google is competitive, requiring strong technical skills, including proficiency in algorithms, data structures, and coding in languages like Python or C++. Candidates typically go through multiple interview rounds assessing problem-solving, system design, and technical knowledge. A solid educational background and relevant experience can improve chances, but the process remains rigorous due to high standards and demand for top talent.

What are the most commonly searched types of Google Software Engineer jobs in Quebec?

The most popular types of Google Software Engineer jobs in Quebec are:

What are popular job titles related to Google Software Engineer jobs in Quebec?

For Google Software Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Google Software Engineer jobs in Quebec look for?

The top searched job categories for Google Software Engineer jobs in Quebec are:

Infographic showing various Google Software Engineer job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $112,680 per year, or $54.2 per hour.

Senior Applied AI Engineer

PSP Investments

Montreal, QC • On-site, Remote

Full-time

Retirement, PTO

Re-posted 9 days ago


Key responsibilities

  • Design and build the core of Floyd's agentic system, including prompting, tool use, data retrieval, and multi-model orchestration

  • Collaborate with Data Engineers to develop ML and AI-serving pipelines on Databricks

  • Keep Floyd production-grade by ensuring reliability, latency, cost-efficiency, and security standards


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.


Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.


ABOUT YOUR ROLE

Floyd is PSP's in-house AI platform - a custom analyst built for our investment teams. It pairs a conversational assistant with purpose-built workflows that turn complex research questions into structured, decision-ready output. Under the hood, Floyd is an agentic system that orchestrates the latest frontier models through the OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and breaking big problems into smaller ones it can work through in parallel. It's already changing how investment professionals work day-to-day - and it's still early, with a lot left to build.

This role puts you at the frontier of applied AI inside an institutional investor. It's hands-on and high-agency, blending AI engineering with real product sense and close partnership with the people who use what you build. You'll own problems end to end - from a vague request on the investment floor to a reliable capability running in production - with the autonomy to decide how to get there.

You will have the chance to shape a flagship AI platform at one of Canada's largest pension investment managers, with direct impact on how investment decisions are researched, with access to frontier models and proprietary data at scale, within a high-caliber, collaborative team.

As a Senior Applied AI Engineer, you'll:

  • Design and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and evaluation

  • Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving

  • Develop across the stack: the Floyd Python SDK and its Gradio- and React-based front ends

  • Keep Floyd production-grade - reliability, latency, cost and monitoring - within the security and data-governance standards of a financial institution

  • Lean on AI coding agents (Claude Code, Codex) to move fast from prototype to production and help the team get more out of them

  • Advise/Partner closely with investment professionals to build trust, drive adoption, and feed what you learn back into the product

WHAT YOU'LL NEED

We're looking for a senior engineer who has shipped real AI products and likes working close to the people who use them.

  • Five (5) years or more building and shipping production software and/or ML systems, ideally in hands-on, user-facing roles

  • Production experience building and deploying LLM applications at scale

  • Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling

  • Expert in Python (mandatory) and strong in JavaScript/TypeScript - comfortable building both a Python SDK and a Gradio or React front end

  • Hands-on experience with Databricks for data engineering, data science and/or model serving.

  • Comfortable across cloud platforms - we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)

  • Expert user of AI coding agents such as Claude Code and/or Codex

  • High agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindset

  • Excellent communication - you can translate between domain experts and engineers and explain complex ideas simply

  • Experience with tabular data and time-series manipulation, an asset

  • Traditional (classical) ML experience beyond LLMs, an asset

  • Experience in financial services, asset management or capital markets, or with investment-research workflows, an asset

  • MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset

  • Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*Benefits package may vary based on your employee type.


At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

Visit us on www.investpsp.com/en/

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