Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We're looking for curious minds who think big and want to define tomorrow's technology.
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.
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
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