Navigation Science Manager, Prime Air
Seattle, Washington, USA
Full Time Senior-level / Expert USD 165K - 286K
Amazon.com
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Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.
How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.
Come work on the Amazon Prime Air Team!
Prime Air is seeking an experienced Applied Science Manager to help develop our advanced Navigation algorithms and flight software applications. In this role, you will lead a team of scientists and engineers to conduct analyses, support cross-functional decision-making, define system architectures and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands.
This person must be comfortable working with a team of top-notch software developers and collaborating with our science teams. We’re looking for someone who innovates, and loves solving hard problems. You will work hard, have fun, and make history!
Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience directly managing scientists or machine learning engineers
- Experience with the Scrum methodology (or similar alternatives) for agile software development
- Experience hiring and growing top talent
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Proficiency in the simulation and analysis of GNSS raw measurements, including pseudorange and carrier phase.
- Experience building complex software systems, especially involving safety-critical algorithms, that have been successfully delivered to customers.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.
Come work on the Amazon Prime Air Team!
Prime Air is seeking an experienced Applied Science Manager to help develop our advanced Navigation algorithms and flight software applications. In this role, you will lead a team of scientists and engineers to conduct analyses, support cross-functional decision-making, define system architectures and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands.
This person must be comfortable working with a team of top-notch software developers and collaborating with our science teams. We’re looking for someone who innovates, and loves solving hard problems. You will work hard, have fun, and make history!
Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
Basic Qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience directly managing scientists or machine learning engineers
- Experience with the Scrum methodology (or similar alternatives) for agile software development
Preferred Qualifications
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs- Experience hiring and growing top talent
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Proficiency in the simulation and analysis of GNSS raw measurements, including pseudorange and carrier phase.
- Experience building complex software systems, especially involving safety-critical algorithms, that have been successfully delivered to customers.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
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Categories:
Deep Learning Jobs
Leadership Jobs
Tags: Agile Architecture Engineering GNSS Java Machine Learning PhD Python Research Scrum Testing
Perks/benefits: Career development Equity / stock options
Region:
North America
Country:
United States
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