Software Development Engineer, Applied AI Solutions (AWS)

Amazon; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon’s AWS Applied AI Solutions team seeks a Software Development Engineer to own the console, APIs, and 3D visualization for digital twins and spatial data in the browser.

You will work from React UIs to WebGL rendering, RESTful APIs, and SDKs, enabling scalable Spatial Data Management capabilities and partner integrations while collaborating with UX researchers and backend engineers.

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
• 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

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 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—including 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 to ensure a consistent and composable developer experience as the service surface grows.
• Partner with Physical AI Platform engineers to translate backend capabilities 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.

Skills

3+ years software development

2+ years design/architecture

1+ years OOD

C++

Java

OO Design

Education

Bachelor's degree in CS/Engineering/Math

Tools

CloudScape

REST APIs

WebGL/WebGPU

Job description

Software Development Engineer, Applied AI Solutions

Job ID: 10396342 | Amazon Development Center U.S., Inc.

As part of AWS Applied AI Solutions organization, we have a vision to provide business applications by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real‑world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.

The Physical AI team at AWS is developing infrastructure that enables customers to build digital twins, train autonomous systems, and deploy edge intelligence at scale. As these capabilities grow, the experience layer—how customers discover, interact with, and visualize their physical AI workloads—is a key part of making the platform accessible and useful.

As a Software Development Engineer on the Physical AI Experience team, you will own the full customer interaction surface: the console experience, the APIs and SDKs, and the 3D visualization layer that renders OpenUSD‑based digital twins and spatial data in the browser. You will work across the stack—from React‑based console UIs and CloudScape components to WebGL/WebGPU rendering pipelines to RESTful and streaming API design—building the experience that makes petabytes of spatial data and complex digital twin orchestration feel simple and intuitive.

Key job 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 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—including 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 to ensure a consistent and composable developer experience as the service surface grows.
• Partner with Physical AI Platform engineers to translate backend capabilities 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.

A day in the life: You’ll start your morning reviewing console telemetry—page load times, API error rates, and feature adoption metrics—to identify friction points in the customer experience. You’ll join a design review for the digital twin lifecycle management console, debating how to represent maturity transitions visually without overwhelming users who only need basic spatial data management. Mid‑morning, you’ll implement a new API endpoint for a partner integration, ensuring the request/response contract follows AWS API standards and integrates cleanly with existing SDKs. After lunch, you prototype a WebGPU‑based point cloud renderer that lets a customer inspect their factory’s 3D spatial data directly in the console, replacing a workflow that previously required downloading gigabytes of data to a local workstation. You’ll spend the afternoon pairing with a backend engineer to design the streaming API contract for real‑time edge device telemetry, then end the day reviewing a teammate’s pull request for CloudScape dashboard components that visualize spatial data pipeline throughput.

Basic 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
• 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

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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.