Base Salary
$236k - $339k/yr
Responsibilities
- Lead research projects applying formal methods and AI techniques to cloud data platform challenges.
- Translate research ideas into prototypes and shipped capabilities that enhance business metrics.
- Collaborate with engineering leaders and product managers to identify and deliver high-leverage opportunities.
- Influence the engineering and product roadmap by advising on pragmatic research directions.
- Train engineering teams on new methods and scale those methods across the organization.
- Maintain expertise through publications, conference participation, and open-source contributions.
Requirements
- PhD or equivalent research experience in Computer Science or a related field.
- Depth in formal methods, distributed systems, software engineering, and AI/ML.
- 8+ years of experience applying theoretical computer science to large-scale software systems.
- Demonstrated ability to drive company-level initiatives in partnership with leadership.
- Track record of technical contributions through publications, open-source work, or patents.
- Comfortable in a fast-paced, ambiguous environment with a focus on impactful deliverables.
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.