Software Development Engineer
Posted Updated
Description
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.
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.