Edge AI Fleet Management Lead

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 185,000 - 250,000

Full time

21 hours ago

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Job summary

Amazon Web Services, Inc. is seeking a Software Development Manager for the Physical AI fleet management team in AWS IoT, Seattle.

You will lead engineers building edge runtime and cloud control planes to manage autonomous machines, with a focus on offline operation, secure artifact distribution, and OTA updates. You will own roadmap, architect across cloud and embedded layers, and coordinate with partners across AWS IoT, applied science, robotics, silicon, and OEMs to scale global fleets while

Qualifications

3+ years of engineering team management experience.
7+ years of working directly within engineering teams experience.
3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
Experience partnering with product or program management teams.
Experience with systems software, embedded Linux, or software that ships to devices.

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, including oncall, alarming, release discipline, and the version and security posture of every processor in the field.
Partner with client teams across AWS IoT, applied science, and robotics, and with silicon and OEM partners whose attestation and boot primitives the security model depends on.
Set the technical bar through architecture and design review, and hold decisions on state, consistency, and failure handling across tiers that cannot see each other.