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Snowflake

Software Engineer - AIM Virtualization

Location
Menlo Park, CA, US
Arrangement
Hybrid
Employment type
Full-time
Posted
14 August 2026 (about a month ago)

Checked about a month agoApplications go to the employer, never to RoleSprint

About this role

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

At Snowflake, we are shaping how data becomes the center piece of the agentic enterprise. Time to value is what’s most critical to our customers. For them, moving from other platforms to Snowflake is key to unlocking new business opportunities and out-innovating their competition.

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?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Work location

  • Menlo Park, CA, US

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About this listing

Advertised by Snowflake and published on Ashby, the applicant tracking system they use.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 14 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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