Description
The Automated Reasoning Group in AWS Platform is looking for a Senior Applied Science Manager with science, engineering, and product experience to build and deliver automated reasoning solutions that delight customers. You will lead a team of world-class applied scientists and engineers, creating the next generation of automated reasoning tools and services (e.g. Dafny).
As a Senior Applied Science Manager, you and your teams will identify research directions, create and deliver on roadmaps for forward-looking research and product innovation, and communicate them to senior leadership. You'll have experience taking invention to production and be passionate about using scientific research to deliver value to customers.
Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Mentorship & Career Growth
We care about your career growth too. Once you join the team, you and your manager will jointly craft a career plan and you'll review it regularly to ensure you're on track to meet your goals. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
Work/Life Balance
It’s not about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com/
We are open to hiring candidates to work out of one of the following locations:
Boston, MA, USA
Basic Qualifications
MS or Ph.D. degree (or equivalent) in Electrical Engineering, Computer Science, Mathematics, or related technical field
5+ years of industrial/academic product experience, such as formal verification, program analysis, constraint-solving, and theorem proving
8+ years of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Preferred Qualifications
Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.