Software Development Engineer, Applied AI Solutions

Amazon • Mountain View, CA

20h • $165,200 - $223,600 • Onsite

About The Position

As part of the AWS Applied AI Solutions organization, the Physical AI team is developing infrastructure to enable customers to build digital twins, train autonomous systems, and deploy edge intelligence at scale. This role focuses on the experience layer, which involves how customers discover, interact with, and visualize their physical AI workloads, making the platform accessible and useful. As a Software Development Engineer on the Physical AI Experience team, you will be responsible for the entire customer interaction surface. This includes the console experience for managing spatial data and digital twins, the APIs and SDKs that facilitate programmatic workflows, and the 3D visualization layer that renders OpenUSD-based digital twins and spatial data directly in the browser. You will work across the full stack, from React-based console UIs and CloudScape components to WebGL/WebGPU rendering pipelines and RESTful/streaming API design, to create an intuitive experience for managing petabytes of spatial data and complex digital twin orchestration. The Physical AI Experience team is a new group within Applied AI Solutions, covering all customer touchpoints with the Physical AI platform. The team operates at the intersection of frontend engineering, API design, and 3D visualization, requiring both broad and deep expertise. Collaboration is key, working closely with the Physical AI Platform team (backend services, SDMA, digital twin orchestration), UX design, the partnership team, and directly with lighthouse customers to shape the product. The team emphasizes developer experience, simplifying complex spatial workflows, and believes the experience layer is crucial for product adoption. This position offers opportunities to define interaction patterns for a new AWS service category, work with 3D web rendering technologies, and contribute to autonomous systems of the future.

Requirements

• 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, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Nice To Haves

• 3+ 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

Responsibilities

• Design and implement the AWS console experience for the Physical AI platform, enabling customers to manage spatial data assets, configure digital twin lifecycles, and monitor autonomous operations through intuitive dashboards built with CloudScape design system components.
• Build and maintain the public API surface and SDKs that customers and partners use to programmatically interact with the Spatial Data Management Architecture (SDMA), including REST APIs for CRUD operations, streaming APIs for real-time spatial data, and CLI tooling for developer workflows.
• Develop the 3D visualization layer that renders OpenUSD scenes, NVIDIA RTX-powered digital twins, and multi-modal spatial data (point clouds, 2D overlays, sensor streams) in the browser using WebGL/WebGPU, enabling customers to inspect, annotate, and collaborate on digital twin environments without local software installation.
• Create interactive coverage dashboards and analytics views that surface operational insights from spatial data pipelines — processing volumes, digital twin health, edge device status, and autonomous system performance metrics.
• Define and enforce API design standards, versioning strategies, and backward compatibility practices across the Physical AI platform, ensuring a consistent and composable developer experience as the service surface grows.
• Partner with Physical AI Platform engineers to translate backend capabilities (SDMA, digital twin orchestration, edge-to-cloud communication) into customer-facing experiences, and with UX designers to validate interaction patterns through customer research and usability testing.
• Surface partner solution integrations within the console experience, ensuring customers can discover, activate, and navigate partner capabilities alongside native workflows without context-switching between platforms.

Benefits

• 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
• parental leave
• flexible work hours and arrangements
• knowledge-sharing, mentorship and other career-advancing resources

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level