Systems Engineer • Lead

Who you are

You have 5+ years of experience in systems engineering, with a strong background in managing teams and developing software for complex hardware systems. Your technical expertise includes working with System on a Chip (SoC) architectures and you are comfortable diving into both hardware and software details. You have a proven track record of leading teams effectively, coaching developers, and driving projects to completion. You thrive in collaborative environments, working closely with hardware designers and verification engineers to create innovative solutions. Your hands-on approach means you are not afraid to write code and debug issues alongside your team, ensuring high-quality deliverables. You are passionate about machine learning acceleration and understand the intricacies of building software that abstracts hardware complexities.

Desirable

Experience with custom silicon development and a deep understanding of hardware-software integration will set you apart. Familiarity with machine learning frameworks and tools is a plus, as is a background in performance optimization for software stacks.

What you'll do

As the Systems Software Manager, you will lead a team of six developers, guiding them in the development of software that interfaces with newly developed SoC IPs. You will collaborate with chip architects and designers to ensure that the software effectively boots and manages the hardware. Your role will involve addressing system-level architectural issues and driving debugging efforts across multiple teams. You will continuously improve existing codebases throughout the device lifecycle, ensuring that your software stack meets the needs of various internal customers. Additionally, you will innovate on the tooling provided to customers, enhancing their experience and efficiency. Your leadership will be crucial in shaping the next generation of machine learning acceleration technologies at AWS.

What we offer

At Amazon, we provide a competitive compensation package that includes equity and sign-on payments, alongside a comprehensive range of medical and financial benefits. You will have the opportunity to work in a dynamic environment where your contributions directly impact the future of machine learning technologies. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.