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As a Senior Software Engineer at Snowflake, you will enhance the query execution layer of the database engine, tackle performance bottlenecks, develop a parallel and fault-tolerant database system, and collaborate on implementing innovative algorithms for transaction management and data processing.

The Senior Software Engineer will be responsible for enhancing the query execution layer of Snowflake's database engine, tackling performance bottlenecks, designing high-performance systems, and ensuring efficient resource management. The role involves implementing solutions from project design to production rollout, and involves working with complex database and distributed systems.

As an Account Executive at Snowflake, you will focus on building relationships with digital-native and startup clients, managing complex sales processes, providing technical guidance, and driving customer satisfaction. You will leverage your knowledge of cloud applications and data technologies to align solutions with customer needs, conduct demonstrations, and facilitate digital transformation discussions.

The Senior Software Engineer will lead the development of infrastructure for real-time data pipelines, mentor team members, enhance existing products, and work on distributed systems and cloud infrastructure. The role involves ensuring system reliability and performance while collaborating with various teams.

As a Senior Software Engineer on the Query Compiler team, you will design, develop, and support a highly distributed and performant database system. Your work will focus on identifying performance bottlenecks, implementing query compiler optimizations, and ensuring efficient resource management across various technologies. You will collaborate closely with product teams and contribute to the overall improvement of the Snowflake Query Engine.

The Senior Software Engineer will develop and optimize machine learning infrastructure, focusing on large language models (LLMs). Responsibilities include defining roadmaps, collaborating on distributed training infrastructure, and improving development velocities across engineering teams to enhance Snowflake's machine learning capabilities.

The role involves defining the roadmap for machine learning platforms at Snowflake, developing distributed training infrastructure for LLMs, optimizing inference processes, and collaborating with various engineering teams to enhance model development capabilities. Leadership in technical quality and innovation within the team is also expected.