Edge ML & CV SDE for Global Fulfillment

Amazon Inc.; Factoria (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global fulfillment network. You will work on edge-based solutions from embedded Linux to cloud platforms, collaborating with hardware, operations, and applied science teams to deliver new capabilities.

You will evolve the ML experimentation platform, unify metrics, and prototype telemetry dashboards.

Qualifications

• Bachelor's degree in CS/engineering or related field.
• Experience designing and developing large-scale distributed software systems.

Responsibilities

• Evolve our internal ML experimentation platform to support edge deployment workflows across Amazon's warehouse network.
• Build and maintain edge services managing camera fleets at scale, including telemetry infrastructure and data pipelines for OEE analytics.
• Collaborate with cross-functional teams—hardware, operations, applied science—to ship new capabilities.
• Mentor junior engineers and help shape the team's engineering culture.

Skills

Edge computing

Distributed systems

Cloud platforms

Object oriented design

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Bachelor's degree in computer science or equivalent

Tools

C++

Java

C#

Perl

Job description

Amazon.com Services LLC is seeking a Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global fulfillment network. You will work on edge-based solutions from embedded Linux to cloud platforms, collaborating with hardware, operations, and applied science teams to deliver new capabilities.

You will evolve the ML experimentation platform, unify metrics, and prototype telemetry dashboards.