SDE, Simulation, Applied AI Solutions

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.The Physical AI team builds simulation, synthetic data, and validation tooling that enables autonomous systems to be tested systematically and safely before deployment. We work across the full Physical AI lifecycle — data curation, scenario generation, simulation, and deployment monitoring. Our team collaborates closely with Applied AI Solutions teams (IoT, Digital Twin, Spatial/Geospatial), SageMaker teams for model development, and leading simulation platform providers. We value technical excellence, customer obsession, and systematic problem-solving. You'll have opportunities to shape the future of autonomous systems validation, work with generative AI technologies, and deliver measurable impact to customers deploying safety-critical autonomous systems at scale.Key job responsibilitiesDesign 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.A day in the lifeYou'll start your morning reviewing generation quality metrics from customer validation campaigns, analyzing scenario success rates and identifying opportunities to improve edge case coverage. You'll participate in a design review for the next iteration of a specification parser, discussing how to handle region-specific rules and regulatory requirements. Mid-morning, you'll pair program with a teammate on implementing physics-based validation checks that verify generated scenarios meet dynamics constraints and behavioral plausibility. After lunch, you'll join a customer call to understand their specific validation challenges and gather requirements for specialized sensor modalities. You'll spend the afternoon optimizing a generation pipeline for scalability, balancing generation quality with compute costs for large scenario volumes. You'll end the day mentoring a junior engineer on generative AI model integration patterns and reviewing pull requests for the simulation platform connector framework.About the teamAbout the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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 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 languagePreferred qualification - 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 equivalentAmazon 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.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 .USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annuallyUSA, WA, Seattle - 143,700.00 - 194,400.00 USD annually