Software Engineer - AIM Virtualization

Posted 27 Days Ago
Menlo Park, CA, USA
Hybrid
157K-230K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Build and improve an AI-native virtualization platform that makes applications work on Snowflake. Work spans AI-driven software synthesis, query parsing/optimization, wire protocols, and data ingest/egress. Collaborate with product, solutions, and field engineering to enable customer migrations and define AI-based engineering processes.
Summary Generated by Built In

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

Skills Required

  • 2-7 years of experience in SQL and/or other functional programming languages
  • Solid knowledge of database internals, including query parsing, optimization, and execution
  • BS/MS/PhD in Computer Science or related field (databases, high-performance computing)
  • Experience with AI-based development or applying AI to software synthesis workflows
  • Boundless curiosity and imagination to use AI in novel ways

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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