Massachusetts Green Jobs

Description

The Automated Reasoning Group in AWS Platform is looking for an Applied Science Manager with experience in leading diverse teams to build and deliver automated reasoning solutions that delight customers. You will lead a team of world-class applied scientists and software development engineers, creating the next generation of automated reasoning tools and services (e.g., Dafny).

As an Applied Science Manager, you and your team 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

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.

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.

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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

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. Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com/

Hybrid Work

We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

About the team

Learn more about Automated Reasoning at Amazon: https://www.amazon.science/research-areas/automated-reasoning

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA

Basic Qualifications

• 5+ years of industry or academic research experience

• MS or Ph.D. degree (or equivalent) in Electrical Engineering, Computer Science, Mathematics, or related technical field

Preferred Qualifications

• Experience directly managing scientists or machine learning engineers

• Experience hiring and growing top talent

• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs

• Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field

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.