Sr. SDE, OneMHS

Description 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 sites
• Pair 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. Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor'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 you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, N.Reading

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00 USD annually