Sr. SDE, OneMHS

Amazon Fulfillment Technologies & Robotics; Bellevue (WA); Presencial; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Amazon’s OneMHS team in Washington state seeks a Sr. Software Development Engineer to build edge ML compute, monitoring, and computer vision across our global fulfillment network. You will work from embedded Linux to cloud platforms, integrating with industrial devices and fleets.

You will collaborate with hardware, operations, and applied science teams to define, execute, and test new capabilities, while mentoring junior engineers to grow the team’s engineering culture.

Formación

• Experience building edge ML inference pipelines.
• Strong background in embedded Linux control systems.
• Familiarity with cloud platforms and observability tooling.

Responsabilidades

• Design and develop edge-based ML inference pipelines across our warehouse network.
• Build and maintain edge services managing camera fleets at scale.
• Architect solutions with intermittent cloud connectivity.
• Develop cloud platforms for fleet observability, telemetry, and remote device management.
• Collaborate with hardware, operations, applied science to ship capabilities.
• Mentor junior engineers and shape engineering culture.

Conocimientos

Edge ML

Embedded Linux

Cloud platforms

ML inference

Systems integration

Herramientas

Linux

TensorFlow/PyTorch

Descripción del empleo

We are seeking an exceptional Sr. Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global fulfillment network.

Our landscape is global and complex, spanning diverse software systems, industrial machines, and protocols. We continuously innovate on behalf of the customer by building custom hardware and software technology solutions.

As a lead on this team, you will develop edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. Your work will span multiple layers of the stack from low-level embedded Linux control systems to cloud-based platforms that interface with and manage fleets of real-world devices. You will collaborate closely with an inter-disciplinary team and external partners to drive product definition, execution, and testing.

Key job responsibilities

• Design and develop edge-based ML inference pipelines across Amazon's warehouse network
• Build and maintain edge services managing camera fleets at scale
• Architect solutions that operate reliably with intermittent or limited cloud connectivity
• Develop cloud platforms for fleet-wide observability, telemetry, and remote device management
• Collaborate with cross-functional teams - hardware, operations, applied science - to ship new capabilities
• Mentor junior engineers and help shape the team's engineering culture

A day in the life

On a typical day as an OneMHS Sr. SDE, you might:

• Debug why an ML inference pipeline is dropping frames on a specific edge device SKU
• Design a sync strategy for camera fleet data that gracefully handles connectivity loss
• Prototype a new telemetry dashboard to surface device health across hundreds of sitesPair with an applied scientist to optimize a computer vision model for edge deployment
• Review a teammate's PR for a new device provisioning workflow
• Dig into logs from an Outpost to troubleshoot why a fleet update didn't propagate

About the team

We're the Science and Software team within OneMHS (Material Handling Systems). We're building the foundation for next-generation ML, computer vision, and AI applications for Amazon's material handling systems - combining expertise in distributed systems, industrial automation, cloud architecture, and machine learning to deliver solutions that impact millions of customers daily.