We are looking for extraordinary software engineers to join our team working on Apache DataFusion Comet, an open-source accelerator for Apache Spark. The role focuses on enhancing the performance and efficiency of Apache Spark while ensuring results match exactly. You will collaborate with teams across Apple and contribute to open-source communities, working closely with experts in the field. This position offers the opportunity to impact systems that support millions of users worldwide.

• 3+ years of professional software engineering experience.
• A proven track record of building distributed systems.
• Contributor or committer to Apache Spark and/or Apache DataFusion, Comet.
• BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
• Good knowledge of Apache Iceberg and Apache Parquet internals.

• Advance Apple Data Platform by making Apache Spark faster and more efficient with Apache DataFusion Comet.
• Design and implement operators and expressions in a native language on Apache DataFusion and Apache Arrow.
• Extend Comet's Spark integration across Spark versions.
• Accelerate reads and writes of Apache Iceberg and Apache Parquet data while keeping results identical to Spark's.
• Profile and benchmark real workloads and tune memory, shuffle, and I/O.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.