Amazon Applied Scientist Automated Reasoning Group 

United States, Oregon, Portland 

382107281

The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building scalable solver solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.As an Applied Scientist in AWS Platform, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:
- Define and implement new solver applications that are scalable and efficient approaches to difficult problems- Work in an agile, startup-like development environment, where you are always working on the most important stuff
- Deliver high-quality scientific artifactsKey job responsibilities
Work closely with internal and external users on defining and extending application domains. Tune solver performance for application-specific demands. Identify new opportunities for solver deployment.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & 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.Work/Life Balance
Hybrid Work

- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Industrial/academic experience in formal verification, program analysis, constraint-solving, and/or theorem proving
- Experience with programming languages such as Java, Scala, C/C++, Ruby, or Python and open-source technologies
- Experience in design and analysis of algorithms and data structures

- Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Deep understanding of formal methods, formal verification, constraint solving, and knowledge representation
- Ability to address customer or business problems when a problem is ill-defined
- Ability to work in a fast paced and agile development environment
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions