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.
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
We're looking for a talented and motivated Software Engineer to join our AI Services team, specializing in the scalability, availability and resilience of LLMs, NLP, and AI tools. In this role, you will have the opportunity to leverage your expertise to contribute to the development and productization of platforms for cutting-edge AI projects (e.g. multi-modal LLMs) that are or will be integrated into the Snowflake platform making a significant impact on the company’s portfolio.
Some of the projects we are currently working on include full deployment automation of our inference stack while maintaining quality gates supporting Snowflake’s global scale, and a new architecture for multi-modal inference to support the growing demand for AI capabilities.
Your journey as a Software EngineerWorking in our team you will:
Think creatively to find optimal solutions to our complex, often ambiguous problems
Participate in all stages of developing and serving new platforms for various AI solutions and improving existing Snowflake’s functionalities in the AI domain
Work closely with other research, engineering, and business teams to understand and shape the short and long-term product development strategy
Serve as a mentor to less experienced engineers, researchers, and product managers
3+ years of experience writing production-quality scalable code using backend languages (preferred Go, Python, Java)
BSc in a technical field (AI/ML, CS, DS, Physics, Math, etc), MSc/PhD is a plus
Professional level in building SDKs / web service APIs (REST/ gRPC)
Experience with software engineering best practices (programming, testing, version control, CI/CD, docker/Kubernetes, Jenkins, agile development, etc)
High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information
Ability to articulate results and complex concepts to leadership
Must be able to produce solutions independently in an organized manner, work in a team, and also be able to lead a team when required
Hands-on experience in the MLOps field (e.g., deploying ML models) will be a strong asset.
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
- 3+ years writing production-quality scalable backend code
- BSc in a technical field (CS, AI/ML, DS, Physics, Math)
- Professional-level experience building SDKs and web service APIs (REST/gRPC)
- Experience with CI/CD, version control, testing, Docker, Kubernetes, Jenkins, and agile development
- Ability to produce solutions independently, work in teams, and lead when required
- Strong communication skills to articulate results and complex concepts to leadership
- Hands-on experience deploying ML models / MLOps
- MSc/PhD in a relevant field
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.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
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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