SDE, Simulation, Applied AI Solutions

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Job summary

Amazon Web Services (AWS) is seeking a Software Development Engineer for the Physical AI team to build core capabilities that generate synthetic scenarios, sensor data, and validation workflows across the autonomous systems lifecycle.

You will work with generative AI models trained on real‑world operational data to create realistic agent behaviors and environmental conditions, enabling comprehensive test coverage for validation 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 experience.
• 1+ year of software development engineer or related occupational experience.
• 1+ year 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+ year of Object Oriented Design experience.

Responsibilities

• Design and implement scenario generation pipelines that transform operational design specifications into diverse scenario variations with comprehensive coverage analysis.
• Build generative AI model integration layers that leverage real‑world operational data to create realistic behaviors while maintaining physical plausibility constraints for agent dynamics, sensor characteristics, and environmental physics.
• Develop export connectors for industry‑standard simulation platforms that handle format compatibility, authentication, and data transfer.
• Create synthetic sensor data generation systems that produce multi‑modal outputs (MP4 video, PCD/LAS point clouds, radar data) with accurate sensor characteristics and metadata tracking for validation traceability.
• Implement coverage analysis algorithms that identify gaps in generated scenario distributions and recommend generation parameters to achieve systematic coverage.
• Integrate with SageMaker for perception model training workflows and visualization tooling for validation coverage reporting.

Skills

C#

C++

Java

Perl

OO Design

Education

Bachelor's degree in Computer Science or related field

Tools

SageMaker

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.

AWS Physical AI is building the platform that helps companies developing autonomous systems validate their safety‑critical applications. Our team builds solutions that automate the creation of test scenarios, generate synthetic sensor data, and enable simulation‑based validation — covering edge cases and boundary conditions that are difficult to capture through real‑world data collection alone. Physical AI spans the full lifecycle of autonomous systems development — from data curation and model training through simulation‑based validation and deployment monitoring. As a Software Development Engineer on the Physical AI team, you'll work across this stack, building core capabilities that transform operational design specifications into realistic synthetic scenarios, sensor data, and validation workflows.

You’ll work with generative AI models trained on real‑world operational data to create realistic agent behaviors, object interactions, and environmental conditions that systematically explore safety‑critical situations. Your work will directly enable validation engineers at companies building autonomous systems to achieve comprehensive test coverage that previously required months of manual effort.

Key Responsibilities

• Design and implement scenario generation pipelines that transform operational design specifications into diverse scenario variations with comprehensive coverage analysis.
• Build generative AI model integration layers that leverage real‑world operational data to create realistic behaviors while maintaining physical plausibility constraints for agent dynamics, sensor characteristics, and environmental physics.
• Develop export connectors for industry‑standard simulation platforms that handle format compatibility, authentication, and data transfer.
• Create synthetic sensor data generation systems that produce multi‑modal outputs (MP4 video, PCD/LAS point clouds, radar data) with accurate sensor characteristics and metadata tracking for validation traceability.
• Implement coverage analysis algorithms that identify gaps in generated scenario distributions and recommend generation parameters to achieve systematic coverage.
• Integrate with SageMaker for perception model training workflows and visualization tooling for validation coverage reporting.

Essential Experience & 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+ year of software development engineer or related occupational experience.
• 1+ year 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+ year 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.

EEO Statement

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

Salary & Benefits

• USA, CA, Mountain View - $165,200.00 – $223,600.00 annually
• USA, WA, Seattle - $143,700.00 – $194,400.00 annually

Job ID: A10396346