3 months ago
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
Data Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.