Applied Scientist, Kuiper Ground Systems Engineering

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and under-served communities around the world. We are looking for an outstanding Applied Scientist who will help lay down the foundation of various science applications such as anomaly detection, advanced calibration methods, space engineering simulations, analytics, operational research, etc. The ideal candidate:

* Thinks big and demonstrates bias for action while delivering short and long term results
* Creative and capable of finding elegant solutions to ambiguous problems
* Strong scientist/data-driven mindset with good intuition and strong backbone yet remains open-minded, respectful to others’ opinions, and naturally challenges their own beliefs
* Enjoys working in a fast-paced, start-up-like environment
* Eager to learn about new subjects and work outside their comfort zone
* Strong team player who empowers and learns from others

Key job responsibilities
* Owns the end-to-end development of solutions for concrete business problems:
* Translate ambiguous problems into well defined mathematical problems
* Propose relevant metrics, evaluation methods, and dashboards
* Formulate hypothesis, create test environments, collect data, and present results
* Prototype, test, and implement state-of-the-art algorithms
* Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloud
* Write internal science documentation and external publications

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

A day in the life
In this role as an Applied Scientist, you will design, implement, optimize, and operate systems critical to the uptime and performance of Kuiper ground terminals. Your contributions will have a direct impact on customers around the world.

About the team
The Kuiper Ground Systems Engineering team is responsible for the development, deployment, and long-term performance optimization of Kuiper satellite ground terminals located around the world (Gateway and Telemetry, Tracking, and Command (TT&C)). Ground terminals include full-motion parabolic antennas, radio frequency spectrum monitoring, terminal monitoring and control, and fault management systems. These software-driven distributed systems form the communications backbone for the Kuiper constellation and must provide the world-class reliability, uptime, and performance our customers expect from Amazon.

This role will be part of the Software and Algorithms (SWALG) team, part of Ground Systems Engineering. SWALG is responsible for:

* Design, development, deployment, and support of a tier 1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world.
* Ground systems integration/test (I&T) automation
* Ground terminal configuration, provisioning, and acceptance automation
* Systems analysis
* Algorithm development (pointing/tracking/calibration/monitoring)
* Software interface definition for supplier-provided hardware and development of software test automation
* Definition of use cases/requirements needed to drive ground modem software development

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

Redmond, WA, USA

Basic Qualifications

– 3+ years of building models for top-tier business applications or strong academic records
– PhD, or Master’s degree and 4+ years of computer science, statistical modeling, machine learning, or related field experience
– Excellent probability and statistics core
– Experience in stochastic processes, Bayesian inference, and sampling methods (e.g. Monte Carlo Markov Chain)
– Demonstrated proficiency in Python, C/C++, Java, Rust or related language

Preferred Qualifications

– Experience in calibration and anomaly detection
– Experience in hardware projects
– Good knowledge of neural methods
– Experience in cloud application development
– Strong algorithms and data structures skills

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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. Applicants should apply via our internal or external career site.