Software Development Engineer, AWS Industry Products - Science for Industry
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Software Development Engineers on the Science for Industry team build science-based features and products for customers in industry segments such as manufacturing, clean energy, healthcare and life sciences, media, telecom, and operations. You will work hand-in-hand with research and applied scientists to prototype and build functionality that supports one or multiple segments.
Key job responsibilities
A Software Dev Engineer II (SDE II) on the Science for Industry (SCIFI) team collaborates with industry teams to design and integrate science-embedded components that fit customer needs. Given requirements for a new feature, a SDE II will work with product managers, designers, and scientists to clarify, prototype, design, and implement new features.They communicate the value of a science feature, as well as the underlying risks.
To accommodate the breadth of industry teams, a SDE II may work solo with the segment team or with other SDEs to deliver cutting-edge features. They will become the subject matter expert on the science that enables these features. In addition to being able to demonstrate the flexibility to develop software following the traditional software lifecycle, a SDE II prototypes and validates science like a lean startup.A SDE II will solve for competing constraints in deploying science features. This can range from data access to hardware constraints. They do this by stating assumptions clearly, applying the scientific method in their problem solving, and adjusting scope for the science work to de-risk project deliverables.
For each phase of development, an SDE II will jump between languages. As a polyglot, they will learn the best practices for each language to deliver on time. An engineer will provide a consistent high bar for code produced by both scientists and engineers on the team.Even with novel science embedded, the features deployed will delight industry teams by maximizing value and minimizing maintenance cost. A SDE II will interact with industry teams to create and advocate operational excellence standards for science features.
This potentially requires educating industry team engineers on how the science feature is constructed, tested, and operated. They will innovate ways to improve the collaboration between scientists and engineers, and how to test hypotheses and convert successful ones into product features.
The SDE II understands the scientific mindset and process, enabling seamless communication between scientists and engineers on the team. They are able to help new teammates or interns learn specific team processes which have arisen to satisfy the needs of science-based features being developed for industrial settings.
A day in the life
A software development engineer on the SCIFI team will spend time learning about cutting-edge AI technology applicable to industry segments we work with, understanding customer problems and refining ideas with product managers, designing and running experiments with research and applied scientists, analyzing and communicating results, designing systems to scale scientific solutions, and implementing those features.Internal stakeholders are AWS Industry Products teams that work with leading external customers in their respective industries. The problems this role will aim to solve span the fields of computer vision, natural language, optimization, and machine learning.
About the team
The AWS Industry Products (AIP) organization is chartered to build industry-specific managed products by diving deep with industry innovation leaders to solve the disruptive digital challenges changing their industries. AIP covers 4 industry verticals: Clean Energy, Automotive, Healthcare/Life Sciences (HCLS), and Media/Entertainment/Telco/Sports (METS); and 3 horizontals: Sustainability, Manufacturing, and Operations.The Science for Industry (SCIFI) team in AIP brings value to industries by partnering with each segment to research and embed cutting edge science.
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Diverse Experiences
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Work/Life Balance
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- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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