Edge AI Platform Lead Physical IoT Fleet

Job :  | Amazon Web Services, Inc.

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are.

We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

AWS IoT is building the infrastructure to deliver AI from the cloud to the physical world. The Physical AI team develops services that provision, deploy, monitor, and secure AI software across processors inside autonomous machines including robots, vehicles, drones, agricultural equipment, and industrial workcells operating in environments with limited or no cloud connectivity. We are looking for a Software Development Manager to build and lead the team behind edge-first fleet management for Physical AI.

Your team owns software that runs on embedded processors inside autonomous machines and the cloud control plane that orchestrates them coordinating deployments across hierarchical heterogeneous processor topologies that often operate entirely offline. You will lead engineers writing production C++ and Rust for local artifact caching cryptographic verification peer discovery over link-local networks and coordinated over-the-air updates across nested processor hierarchies and you will own the cloud services that track fleet state when the fleet is not reachable.

Physical AI is a new business for AWS so you will define the platform while you build it hire the team that builds it and decide what the team does not build. This is a rare chance to lead where cloud services meet physical machines shipping software that keeps autonomous systems running safely in the real world.

The Physical AI team within AWS IoT is focused on delivering intelligence to every processor inside autonomous machines  build the services that provision, deploy, and secure AI software across robots, vehicles, drones, and industrial equipment worldwide. Our work sits at the intersection of cloud infrastructure and embedded systems and we partner closely with other AWS IoT teams to push what is possible in disconnected resource-constrained environments.

We are committed to creating an inclusive environment where every engineer's voice matters and new ideas are welcomed.

Key job responsibilities

• Lead a team of cloud and embedded engineers building the edge runtime and control plane for Physical AI fleet management including artifact caching peer discovery coordinated OTA across nested processor hierarchies and fleet state reconciliation after long disconnection.

• Hire develop and retain engineers from L4 through L6 and build a team where cloud engineers ramp on embedded systems and embedded engineers ramp on distributed systems.

• Own the roadmap from ambiguous problem statements through launch and scale the platform from early adopters to global fleets of autonomous machines across every AWS region.

• Drive deployment reliability on hardware that is physically accessible and routinely offline where a failed update reaches machines that move and rollback has to work without a network round trip.

• Own the security architecture for software and model distribution including signed artifacts secure OTA (TUF and Uptane) and hardware root of trust (TPM secure boot attestation) on devices an attacker can hold.

• Own operational excellence for physical fleets…