Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 hours agoWe saw it 58 min after it went up

AI Software Engineer

Snowflake360 open roles

Pay
CA$176,300 – CA$226,300 a year
Where
CA-Ontario-Toronto
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Software EngineerSnowflake · CA-Ontario-Toronto

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Snowflake's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market. Snowflake postings stay open a median of 35 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.1%30 days
This job: posted 3 hours ago

Snowflake median: 35 days open

The posting

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake is building the most powerful AI Data Cloud in the world — and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions, intelligent search, and the next generation of AI-powered experiences on the Snowflake platform.

We're looking for a Software Engineer — AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of organizations worldwide. If you're passionate about building production AI infrastructure at scale and want to work alongside world-class engineers on problems that matter, this is the role.

AS A SOFTWARE ENGINEER — AI, YOU WILL:

- Design, develop, and ship AI-powered features and services — working across model inference, AI functions, retrieval systems, and intelligent application experiences on the Snowflake platform

- Build production-quality infrastructure for AI workloads — including model serving, embedding pipelines, retrieval-augmented generation (RAG), and AI-driven automation

- Write clean, performant, and well-tested code in languages like Python, Java, C++, or Go — contributing to systems that operate at enterprise scale across Snowflake's multi-cloud infrastructure

- Collaborate with ML researchers, senior engineers, and product managers to translate AI research and product requirements into robust, scalable engineering solutions

- Contribute to system design — participate in design reviews, propose architectural improvements, and help shape the technical direction of AI services

- Own your work end-to-end — from design and implementation through testing, deployment, monitoring, and operational health

- Stay current on AI/ML advancements — evaluate new techniques, models, and tools and assess their applicability to Snowflake's platform and customer needs

- Contribute to a strong engineering culture — through code reviews, documentation, knowledge sharing, and continuous improvement of team practices

OUR IDEAL SOFTWARE ENGINEER — AI WILL HAVE:

Required:

- 3+ years of software engineering experience building production systems, with a strong foundation in computer science fundamentals (data structures, algorithms, distributed systems)

- Experience with AI/ML systems — you've worked on model serving, inference pipelines, LLM integration, embedding systems, or AI-powered application features in a production environment

- Proficiency in one or more of: Python, Java, C++, or Go

- Experience building distributed systems or cloud-native services — you understand the challenges of scale, reliability, and performance in a multi-cloud environment

- Strong problem-solving skills and the ability to break down ambiguous problems into clear engineering tasks

- Collaborative mindset — you work effectively with engineers, researchers, and product managers and communicate your ideas clearly

- Ownership mentality — you take responsibility for your work from design through production and care about quality, reliability, and operational excellence

Preferred:

- Experience with LLM inference, fine-tuning, RAG architectures, or vector search at production scale

- Familiarity with ML frameworks such as PyTorch, TensorFlow, or similar

- Experience with cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)

- Background in data platforms, data warehousing, or SQL-based systems

- Experience with CI/CD pipelines, automated testing, and production monitoring/observability

- Contributions to open-source AI/ML projects or published research in AI/ML

SNOWFLAKE VALUES WE'RE LOOKING FOR:

- Get It Done — You ship working software. You move fast, iterate, and deliver results — not just prototypes.

- Own It — You take end-to-end responsibility for your code, your systems, and your outcomes. If something breaks, you fix it.

- Make Each Other the Best — You contribute to a culture of learning through thoughtful code reviews, knowledge sharing, and helping teammates grow.

- Think Big — You don't just solve today's problem. You think about how AI at Snowflake should work at 10x scale and build with that future in mind.

COMPENSATION

Snowflake is committed to pay equity and transparency. The compensation ranges below are for the Canada market. Actual compensation will be determined based on factors including relevant experience, skills, and internal equity.

ComponentRangeBase Salary$146,000 – $219,000 CADAnnual Bonus Target10% of base salaryTotal Target Compensation$160,600 – $240,900 CADEquity (RSUs)$170,000 – $500,000 USD

In addition, this role is eligible for a comprehensive benefits package including extended health, dental, vision, RRSP, ESPP, generous paid time off, parental leave, and more.

WHY SNOWFLAKE TORONTO?

- AI at enterprise scale — Cortex AI powers intelligent features for thousands of organizations; your code ships to production and impacts real customers

- Work at the frontier — LLM inference, AI functions, intelligent search, agentic workflows — this team is building the AI platform layer of the data cloud

- Toronto's growing engineering hub — join a rapidly expanding office with strong local engineering leadership and team culture

- Unmatched data advantage — Snowflake sits on one of the largest concentrations of enterprise data in the world, giving AI products a unique moat

- World-class colleagues — work alongside engineers from Google, Meta, Amazon, Microsoft, and leading AI research labs

- Competitive compensation and meaningful equity — including RSUs that give you real ownership in Snowflake's growth

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Snowflake's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Snowflake's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Snowflake's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.