Principal Software Engineer - AI Poland

Reposted One Month Ago
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Hiring Remotely in Zürich, CHE
Remote or Hybrid
Expert/Leader
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
The Principal Software Engineer will build customer-facing AI Functions, design scalable platforms, collaborate across teams, and ensure service reliability.
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.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We are hiring a Principal Software Engineer for our AI team.

Our team delivers an AI Functions product that is the key Cortex Platform feature used by Snowflake customers. We're delivering scalable, governed, managed, powerful and flexible transformation primitives that allow customers to build AI ETL pipelines on all data. We focus on solving the hard research and engineering problems required to make high quality multi-cloud service work. If you enjoy designing and building the AI services that run reliably at scale, this is the team for you.

AS PRINCIPAL SOFTWARE ENGINEER IN AI & ML YOU WILL:

  • Build customer facing AI Functions portfolio of products

  • Design and implement highly scalable distributed platforms within the global Snowflake platform.

  • Participate in decision-making processes on technical or business issues.

  • Collaborate with engineers across teams to help deliver cross-functional initiatives.

  • Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance.

IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:

  • 14+ years industry experience designing, building and supporting large-scale systems in production.

  • Passionate about AI/ML and NLP space

  • Deep multi-faceted appreciation in building end-to-end customer facing products.

  • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in Python, or Java preferred)

  • Knowledge of C, C++, Go is a big plus.

  • Experience working with cross teams and product managers.

  • BS/MS/PhD in Computer Science or related majors.

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

  • 14+ years industry experience designing, building and supporting large-scale systems in production
  • Strong CS fundamentals with proficiency in data structures, algorithms, and distributed systems
  • BS/MS/PhD in Computer Science or related majors
  • Fluency in Python or Java
  • Knowledge of C, C++, Go is a big plus

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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