Senior Edge ML & Computer Vision Engineer - Fleet & Cloud

Amazon Inc.

Boston (MA)

On-site

USD 168,000 - 227,000

Full time

7 days ago
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Job summary

Amazon Inc. in Boston, MA is seeking a Sr. Software Development Engineer to build and scale edge ML compute, equipment monitoring, and computer vision across the fulfillment network.

You will develop edge-based solutions from embedded Linux to cloud platforms, collaborating with hardware, operations and applied science to define, execute, and test new capabilities.

A day includes mentoring engineers, debugging ML pipelines, and helping shape the team's culture across global sites.

Qualifications

  • 5+ years of professional software development experience.
  • 5+ years of programming with at least one software language.
  • 5+ years of leading design or architecture of new or existing systems.
  • Experience as a mentor or tech lead.

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

Skills

5+ years of software development
Mentor / tech lead
System design & architecture

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Inc. in Boston, MA is seeking a Sr. Software Development Engineer to build and scale edge ML compute, equipment monitoring, and computer vision across the fulfillment network.

You will develop edge-based solutions from embedded Linux to cloud platforms, collaborating with hardware, operations and applied science to define, execute, and test new capabilities.

A day includes mentoring engineers, debugging ML pipelines, and helping shape the team's culture across global sites.

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