Design Science Jobs (NOW HIRING)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're 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 we're looking for talented people who want to help.
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. And you'll 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 AWS's global data center infrastructure. We're 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, you'll 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, you'll 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 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.
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.
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, 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 (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
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.
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
- 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
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually