Full Job Description
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.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
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
