Software Development Engineer, Applied AI Solutions

Amazon Web Services (AWS)

Mountain View (CA)

On-site

USD 160,000 - 210,000

Full time

2 days ago
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Job summary

Amazon Web Services (AWS) is seeking a Software Development Engineer for the Physical AI Experience team. You will own the full customer interaction surface: the console experience where customers manage spatial data and digital twins, the APIs and SDKs that power programmatic workflows, 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 to WebGL/WebGPU rendering pipelines—creating

Qualifications

  • Experience building frontend UIs for complex platforms.
  • Familiarity with 3D rendering and web visualization.
  • Understanding of API design and RESTful services.

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.

Skills

React
Frontend engineering
API design
WebGL
3D visualization

Tools

OpenUSD
WebGPU

Job description

Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this 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 where customers manage spatial data and digital twins, the APIs and SDKs that power programmatic workflows, 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.

The Physical AI Experience team is a newly formed group within Applied AI Solutions, responsible for every surface customers touch when interacting with the Physical AI platform. We sit at the intersection of frontend engineering, API design, and 3D visualization - a rare combination that demands both breadth and depth. Our team collaborates closely with the Physical AI Platform team (backend services, SDMA, digital twin orchestration), UX design, the partnership team, and directly with lighthouse customers shaping the product. We value craft in developer experience, obsess over making complex spatial workflows feel simple, and believe the experience layer is what turns infrastructure into an adopted product. You'll have opportunities to define the interaction patterns for an entirely new AWS service category, work with 3D web rendering technologies, and see your work used by customers building the autonomous systems of the future.

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
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