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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.Key job responsibilities
In this role you will be responsible for:
* Serving as an AWS subject matter expert in sustainable technologies
* Evaluating new technologies through Techno-economic assessment (TEA) and Life Cycle Assessment (LCA) models
* Developing external partnerships with startups, academic labs, and others to build a funnel of emerging technologies
* Developing long-term models of new technology through research, data collection, modeling, data analysis, and data visualization
* Building and developing relationships with internal partner teams to drive programs to completion
* Work closely with other scientists and software engineering teams to drive real-time model implementations and new features.A day in the life
Each day you will interact with different teams responsible for all aspects of hardware and data centers. Your work will span the life cycle of our operations and allow you to influence how we develop and implement sustainability practices. You will have the opportunity to work on projects locally and globally.Why AWS-SSI
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.
- Advanced degree (PhD) in engineering discipline, and/or sustainability focused field.
- 10+ years of work experience and subject matter expertise in evaluating sustainable technologies through techno-economic assessment (TEA), Life Cycle Assessment (LCA), and other modeling techniques.
- Demonstrated knowledge of accelerating technology development from early stage to late stage
- 5+ years applying sustainability assessment methods to identify and execute on sustainability improvements;
- 5+ years applying TEA and LCA techniques to data center equipment and hardware and/or other products with electrical and mechanical subsystems;
- Experience with LCA modeling and databases (ecoinvent, etc.);
- Experience with prototyping parameterized models using scripting languages and AWS services;
- Demonstrated knowledge of sustainable design and manufacturing practices spanning supply chains across industries;
- Demonstrated knowledge of data structures and experience in working with large and messy datasets.
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