Software Development Engineer, WHS Data-Tech

Job summary

DESCRIPTION We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.

Benefits

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications,
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master's degree in computer science or equivalent
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers.
• If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
• The base salary range for this position is listed below.
• Your Amazon package will include sign-on payments and restricted stock units (RSUs).
• Final compensation will be determined based on factors including experience,

Responsibilities

• You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal
• Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
• Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
• Develop APIs and backend services that integrate ML model outputs with internal safety

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