Software Development Engineer II, Data Center Design Engineering - BIM & AI TechnologiesAmazon Data Services, Inc. • Seattle, Washington, United States
Software Development Engineer II, Data Center Design Engineering - BIM & AI Technologies
Amazon Data Services, Inc.
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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. 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 with Building Information Modeling (BIM) domain expertise 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 leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced 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.
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
- 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
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.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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. We’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.
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 experience developing Building Information Modeling (BIM) software solutions for the AECO industry
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 with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)
- Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools
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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). 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.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.