Where Data Does More. Join the Snowflake team. We are seeking a Software Engineer to join a joint R&D initiative between the Engineering Systems Team and Snowflake AI Research team. This team drives innovation at the intersection of machine learning and developer productivity, with flagship projects such as ML-powered test systems and LLM-powered code review and automation tools. The team supports both product-facing ML initiatives and internal systems optimization, accelerating Snowflake’s thought leadership and operational excellence in enterprise AI. This role is ideal for candidates who have deep hands-on experience in every stage of the software development lifecycle, have a vision on how AI can play a transformative role in it, and a passion for making it happen. KEY RESPONSIBILITIES:

Partner across research and engineering to design, implement, and maintain machine learning systems that directly impact developer workflows and core platform efficiency.

Build and optimize LLM-based tools for code review, quality automation, and developer assistance, from research prototype to robust production deployment.

Contribute to the improvement of internal ML and data tooling, pipelines, and collaboration between AI Research and Engineering Systems.

Operate across the software lifecycle: requirements, design, implementation, delivery, testing, iteration, and support.

Contribute to a culture of innovation, excellence, and inclusion in a collaborative and fast-paced environment.

OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:

Strong passion for making developers highly productive.

A track record of technical leadership

Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.

Fluency in Java, C++, Python or Go.

Ability to work in a team environment, collaborate well, and mentor junior engineers.

A strategic mindset and strong sense of what to prioritize for maximum impact.

Excellent interpersonal communication skills.

Outstanding written and oral English language skills.

Strong software engineering fundamentals: code quality, reproducibility, CI/CD best practices, debugging, testing, and documentation.

Familiarity with ML operations (MLOps), data/feature versioning, and collaborative software development (Git, containers, etc.).

Strong communication and teamwork skills; able to describe technical tradeoffs and engage both research scientists and software engineers.

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

Developing data or distributed systems internals.

Familiarity with different types of machine learning approaches (supervised, reinforcement learning, contrastive learning) and their practical constraints in large-scale, dynamic code environments.

Proven experience with authoring roadmap documents, project plans and RCAs.

Experience working in or with developer-facing infrastructure, build/test automation, or productionizing research prototypes.

Experience with large-scale language models (LLMs), agentic/autoML systems, or ML for developer productivity (, code intelligence, automated testing, static analysis).

WHY JOIN US:

This is a rare opportunity to collaborate across Snowflake’s leading AI research and engineering system organizations, shaping the next generation of intelligent developer tools and ML-powered infrastructure. You’ll work with world-class researchers and engineers, operate at scale, and have impact across both the open-source community and internal Snowflake engineering. The role offers career development opportunities in ML engineering and advanced software systems, in a values-driven, inclusive environment that values curiosity, impact, and technical excellence. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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.