Software Development Engineer II, Data Center Design Engineering BIM & AI Technologies

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Data Center Engineering - BIM & AI Technologies team is pioneering the next generation of AI-powered design automation for AWSs global data center infrastructure. Were seeking an experienced Software Development Engineer to architect and deliver innovative solutions that transform how data center design documentation is created updated and reviewed at scale.

As an SDE II on this team youll lead the design and implementation of novel generative AI applications that serve architects engineers construction managers and facility operators. Working alongside software engineers applied scientists UX designers product managers and industry domain experts youll architect scalable production-ready systems that integrate BIM platforms desktop applications cloud services and AI technologies to accelerate facility design workflows. This is an opportunity to learn about the Architecture Engineering Construction and Ownership (AECO) industry while applying your software engineering skills to productionize ML models mentor junior engineers and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.

Key job responsibilities
- Design and architect scalable solutions for complex problems in the BIM and design automation space balancing technical excellence with business impact
- Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards
- Write clean maintainable and well-documented code following software engineering best practices and establish coding standards for the team
- Collaborate with applied scientists to productionize ML models for BIM and AECO applications ensuring robust deployment and monitoring
- Work closely with product design science and AECO subject matter experts to deliver novel BIM and AI solutions
- Design and implement integrations between BIM platforms (e.g. Autodesk Platform Services Revit etc.) and AWS services with focus on reliability and scalability
- Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation ensuring AI systems augment rather than replace professional judgment
- Drive technical discussions and build consensus on architectural decisions within your team and across partner teams
- Mentor junior engineers through code reviews design discussions and knowledge sharing
- Advocate for critical customers and stakeholders during team prioritization and planning influencing roadmap decisions

About the team

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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 (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience in practical work applying ML to solve complex problems

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

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 youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually