Simulation AI Engineer for Autonomous Systems

Amazon Web Services (AWS); Mountain View (CA); On-site; USD 165,200 - 223,600; Full time

Job summary

AWS Applied AI Solutions in Mountain View is seeking a Software Development Engineer for the Physical AI team to build capabilities that generate synthetic scenarios, sensor data, and validation workflows for autonomous systems. You will apply generative AI models trained on real data to create realistic agent behaviors and environmental conditions.

You will design scalable multi‑tiered software that integrates with SageMaker for perception model training and creates validation tooling to

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.

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++

Java

C#

Distributed systems

OO design

Software architecture

Python

Multithreading

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Engineering

Tools

SageMaker

Simulation platforms

Export connectors

Job description

AWS Applied AI Solutions in Mountain View is seeking a Software Development Engineer for the Physical AI team to build capabilities that generate synthetic scenarios, sensor data, and validation workflows for autonomous systems. You will apply generative AI models trained on real data to create realistic agent behaviors and environmental conditions.

You will design scalable multi‑tiered software that integrates with SageMaker for perception model training and creates validation tooling to