Staff Software Engineer, SQL Query Engine

At Bodo, we are driven by a mission to revolutionize how organizations harness the power of data by democratizing efficient compute at scale. With the creation of the first compute engine that brings HPC levels of performance and efficiency to large-scale data processing, we have already helped some of the most data-forward companies in the world with their data challenges. But we believe this is just the beginning. Our mission has received endorsement through investments from industry leaders like Dell Technologies, Snowflake, and hardware providers such as AMD. Additionally, the enthusiastic adoption by Fortune-10 customers further validates the impact we are making. We are poised to shape the future of data platforms and set a new standard for what is achievable with data. To achieve this vision, we are seeking ambitious, hungry, and talented engineers to join our team. Together, we will drive transformative change and build the data platform of the future. Join us on this exciting journey as we redefine the possibilities of data and unlock its full potential.

About the Role

Bodo is looking for a Staff+ Software Engineer with a passion for large-scale SQL query engines to develop Bodo’s revolutionary data platform. This requires a strong entrepreneurship spirit, extensive software design experience, and the ability to turn challenging technical ideas into reality. As a senior software engineer, you will be crafting software and services that are orders of magnitude faster than competitors while also much easier to use. We believe our technology is going to have a significant impact on the future of big data analytics.

Responsibilities

• Design, develop and optimize Bodo’s SQL query execution engine using cutting-edge techniques from databases, HPC, and other related fields
• Take on challenging technical projects such as automatic memory management layer (streaming data from input and across operators, multi-level storage spilling, …), query caching layers, query concurrency, and resource management, query plan optimization, query operator execution optimization at a large scale, compilation time reduction, etc.
• Develop and optimize compute infrastructure for realistic application scenarios
• Develop integrations with various cloud platforms and on-premises data systems
• Coach and mentor junior engineers with technical growth and career progression.
• Help hire and build our team
• Contribute to relevant open-source projects

Qualifications and Skills

• Ph.D., M.S, or B.S. degree in Computer Science or a related field
• 5+ years of experience in database query engine optimization
• Experience in optimizing large-scale parallel compute infrastructure
• Experience in developing and debugging complex systems, especially in C/C++
• Building and/or using open source query optimization frameworks like Apache Calcite, Apache Spark Catalyst, Postgres Query Optimizer, etc.
• Teamwork, strong communication skills, and attention to detail
• Passion for learning new technologies in query engines, compiler optimization, parallel computing, and HPC