Applied Scientist, NSV

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
$136,000 - $222,200
Data
Senior Software Engineer
Hybrid
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS

Description For Applied Scientist, NSV

The AWS Core Networking Organization is seeking an Applied Scientist to join their Backbone Enterprise and Regional Engineering (BERE) team. In this role, you'll collaborate with Software Development Engineers, Network Engineering, and Finance teams to enhance network stability, consistency, and sustainability while maintaining high security standards. You'll apply your expertise in large-scale data analysis and computing solutions to develop algorithms, write code, and manage services that delight customers.

AWS Global Connectivity and Network Availability (GCNA) forms the backbone connecting the global AWS network, controlling internet traffic for worldwide user access. GCNA is responsible for building and designing a complex backbone network that enables efficient internet traffic flow between data centers and customers.

Key Responsibilities:

  • Develop data analysis algorithms and software to understand and tailor the network for internal and external customer needs
  • Design, implement, test, deploy, and maintain innovative data analysis algorithms
  • Collaborate with Senior Software Engineers to write supporting software
  • Work in an agile, startup-like environment, focusing on high-priority tasks
  • Take ownership and do what's necessary to complete projects
  • Learn from others and help grow team members

The BERE organization is responsible for designing, implementing, and operating a wide array of networking infrastructure that provides global connectivity between all AWS Regions and edge locations. They manage a network that grows by 70% annually and support the massive scale required for AWS customers and internal services.

Qualifications:

  • PhD, or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or related field
  • 3+ years of experience building models for business applications
  • Programming experience in Java, C++, Python, or related languages
  • Experience in areas such as algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

Amazon offers a comprehensive benefits package, including medical, financial, and other benefits. The base pay for this position ranges from $136,000/year to $222,200/year, depending on the geographic market and other factors. Additionally, equity, sign-on payments, and other forms of compensation may be provided as part of the total compensation package.

Join AWS and contribute to one of the world's largest and most innovative cloud platforms while enjoying a culture that values work-life harmony, diversity, inclusion, and continuous learning.

Last updated a month ago

Responsibilities For Applied Scientist, NSV

  • Develop data analysis algorithms and software for network optimization
  • Design, implement, test, deploy, and maintain innovative data analysis algorithms
  • Collaborate with Senior Software Engineers on software development
  • Work in an agile, startup-like environment
  • Take ownership of projects and deliver results
  • Learn from others and contribute to team growth

Requirements For Applied Scientist, NSV

Java
Python
  • PhD or Master's degree in CS, CE, ML, or related field
  • 4+ years of experience (if Master's)
  • 3+ years of building models for business applications
  • Experience programming in Java, C++, Python or related language
  • Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing

Benefits For Applied Scientist, NSV

Medical Insurance
Equity
  • Medical Insurance
  • Financial Benefits
  • Equity
  • Sign-on Payments
  • Work-life Harmony
  • Flexible Work Hours
  • Career Growth Opportunities
  • Mentorship

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