Skip to content

Open nowPosted yesterday

Software Dev Engineer

Amazon / AWS21,578 open roles

Pay
CA$118,600 a year
Where
Toronto, Ontario, CAN
Get the CV for this job

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

Your applicationOpen nowSoftware Dev EngineerAmazon / AWS · Toronto, Ontario, CAN
  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 Amazon / AWS'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.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 27 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

Amazon / AWS median: 27 days open

The posting

Are you passionate about innovation? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable projects in a collaborative team environment? Do you want to see your solutions directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact contributor you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Key job responsibilities - Collaborate with cross-disciplinary teams that may include hardware design, firmware, compiler, runtime, and ML engineers to develop software that enables and optimizes custom ML accelerator silicon - Design, develop, and test software across the accelerator stack, including compiler toolchains, device drivers, runtime libraries, profiling tools, simulation frameworks, or chip validation infrastructure - Build scalable, high-performance systems supporting chip verification, silicon bring-up, or production ML inference/training workloads - Write clean, maintainable code (C, C++, Python, or Rust) following best practices for systems-level and performance-critical development - Develop CI/CD pipelines, test automation, and tooling to accelerate the hardware-software co-development lifecycle - Participate in code reviews, contribute to technical documentation, and leverage GenAI tools to enhance development productivity - Demonstrate operational excellence through monitoring, debugging, and resolving issues across hardware-software integration boundaries, including on-call responsibilities - Stay current with emerging technologies in ML accelerators, compiler optimization, computer architecture, and cloud-scale distributed systems

A day in the life As an Amazonian, you will be matched to a manager and a team, and will have the opportunity to influence the evolution of Amazon technology and work on critical projects early in your career. In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in various activities. We give you the tools to own your projects and learn in a real-world settings.

- Currently has, or is in the process of obtaining a Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related STEM field - Demonstrated experience with at least one programming language such as C, C++, Python, Rust, or Java - Demonstrated experience with one or more of the following: data structures, algorithm development, systems programming, or object-oriented design principles

- Previous technical internship(s) or demonstrated project experience in systems software, hardware-adjacent development, or ML infrastructure - Experience with one or more of the following: compiler design or optimization, computer architecture, device drivers or low-level systems programming, hardware simulation or emulation, ML frameworks (PyTorch, TensorFlow), performance profiling and analysis, Linux kernel or embedded systems, AI tools for development productivity, cloud platforms (preferably AWS), version control systems - Strong problem-solving skills with ability to debug across hardware-software boundaries - Excellent written and verbal communication skills - Basic understanding of the hardware development lifecycle (RTL design, verification, silicon bring-up, production deployment) - Demonstrated ability to learn and adapt to new technologies quickly

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. In addition, Amazon offers basic life & AD&D insurance, paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

Toronto, ON, CAN - 118,600.00 CAD Annually

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 Amazon / AWS'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 Amazon / AWS'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

    Amazon / AWS'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.

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.