Snowflake Computing

Software Engineer - AIM Virtualization

Snowflake Computing$135K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-7 years experience in SQL or functional programming languages.
  • Strong curiosity and creativity in applying AI for robust data solutions.
  • Understanding of database internals, including query parsing and execution.
  • BS/MS/PhD in Computer Science, databases, high-performance computing or related fields.

Responsibilities

  • Participate in AI-based development for platform features.
  • Collaborate with product and engineering teams for customer transitions.
  • Define and enhance engineering processes for AI software synthesis.

Benefits

  • Opportunity to work on innovative AI-driven projects.
  • Engagement with a leading team in AI software synthesis.
  • Dynamic work environment focused on challenging problems.
  • Professional growth in a rapidly scaling company.
Full Job Description
With AIM Virtualization we're redefining interoperability for the modern data stack. Our platform makes existing applications instantly work on Snowflake by bringing the core tenets of virtualization to the database. With our runtime, customers move to Snowflake without changing SQL or APIs. As a result, AIM Virtualization makes time-consuming migrations obsolete.

Our platform is uniquely situated at the intersection of database internals and their practical application. Our team gets to tackle some of the most intricate database implementation challenges. All while pioneering an industry-first framework which customers consistently describe as "too good to be true".

If you're looking to work on interesting problems that truly matter to our customers while advancing how we can use AI across the organization, this is the team for you. We are looking for AI-first engineers who are not afraid to take on hard and unusual challenges. We are one of Snowflake's leading teams in AI-driven software synthesis.

Join us if you're looking to build systems, devise engineering processes, and direct AI systems to synthesize components of a mission critical platform.

Responsibilities:
  • Participate in AI-based development across the full platform, from syntactic and semantic analysis, to wire protocols, and data ingest/egress.
  • Collaborate with product managers, solution architects, and field engineering to enable customers make one of the most critical transitions in their database journey.
  • Define and improve our engineering processes around AI-based software synthesis workflows.
Our ideal candidate will have:
  • 2-7 years of experience in SQL and/or other functional programming languages.
  • Boundless curiosity and imagination to use AI in novel ways to create a highly robust and scalable data platform.
  • Solid knowledge of database internals, including query parsing, optimization, and execution.
  • BS/MS/PhD in Computer Science: databases, high-performance computing, or related fields.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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