Amazon Web Services is looking for an experienced Applied Science Manager to lead the EC2 Automated Reasoning Group team. You will be innovating, researching, and developing state-of-the-art automated reasoning techniques for network observability and verification, as well as other applications of automated reasoning across the organization. On this team, you will help guide and lead a team of scientists who invent and implement innovative solutions for never-before-solved problems. If you have passion for automated reasoning with managing scientists, this will be an exciting opportunity.
This team of scientists works closely with engineers, product managers, and leadership to invent the future. You and your team will interact with the broader automated reasoning community at Amazon and in academia by giving talks and publishing papers, but also work closely to build innovative new services that delight customers.
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Key job responsibilities
Lead scientists and engineers on the team
Drive projects at various stages ranging from initial exploration to deployment into production systems.
Provide technical and scientific guidance to your team members.
Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.
Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.
Report results in a scientifically rigorous way.
* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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Work/Life Balance
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BASIC QUALIFICATIONS
- Proven track record of managing science teams, hiring and developing science talent- Track record of peer reviewed academic publications.
- Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
- 10+ years of relevant experience in industry and/or academia.
- Extensive experience applying theoretical models in an applied environment.
- Expertise in a broad range of automated reasoning approaches and techniques including formal verification, symbolic analysis, model checking, symbolic execution, program analysis, SMT/SAT solvers, and theorem proving.
- Domain expertise in development of verification and analysis techniques
PREFERRED QUALIFICATIONS
- MS/Ph.D. degree in Engineering, Computer Science, Mathematics, or related technical field- Experience developing/modifying constraint solvers
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.