AWS Machine Learning servers (TRN and INF) are essentially supercomputers, with both hardware and software built entirely from the ground-up within our organization. We’re looking for someone to lead our SoC (System on Chip) Hardware Abstraction Layer (HAL) team, responsible for directing the team both technically and managerially. You’ll work to understand our in-house SoC and build effective software that abstracts out the details for higher layers of the software stack.

You’ll work closely with chip architects, designers, verification engineers, and fellow software engineers to shape our next-generation of Machine Learning acceleration. You’ll effectively manage, coach, and direct your team to execute on this vision alongside you. This is a hands-on, in-the-trenches software engineering leadership position.

As the team lead, you will:
- Build and manage a small, strong team of 3-5 developers
- Work with hardware designers to write software to boot and manage newly developed SoC IPs
- Work with other system software teams to solve SoC and system-level architectural issues, drive debug, and innovate on cross-functional solutions
- Improve-upon existing codebases throughout the device lifecycle
- Continuously test and deploy your software stack to multiple internal customers
- Innovate on the tooling you provide to customers

Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that all must be managed, tested, and monitored. The SoC HAL is a critical piece of the AWS infrastructure management software stack that ensures the chip is functional, performant, and secure.

You will thrive in this role if you:
- Enjoy building, managing, and leading small teams
- Are proficient in C++ and familiar with Python
- Love solving complex system-level issues
- Know how to build effective abstractions over low-level SoC details
- Have strong opinions about software architecture, and are able to apply them effectively
- Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small, startup-like team within a large organization

Although we build and deploy machine learning chips, no machine learning background is needed for this role. Your team (and your software) won’t be doing machine learning. Our software is part of the backend AWS infrastructure responsible for managing TRN and INF. You and your team will develop software for components used by machine learning, like PCIe and HBM, but won’t need to deeply understand ML yourselves.

This role can be based in either Cupertino, CA or Austin, TX. The team is split between the two sites, with no preference for one over the other.