Senior Software Engineer (AI Infrastructure)

Location: Mountain View, California — on-site

Salary: $190,000–$250,000 annually, plus equity and performance bonus.

Company

hirify.global builds AI infrastructure and data optimization products for enterprises operating massive data environments.

What you will do

• Build metadata and transaction systems for large-scale tabular datasets, including time travel, schema evolution, partition evolution, and atomic consistency.
• Develop table-maintenance infrastructure for Apache Iceberg, Delta Lake, Apache Hudi, and related lakehouse formats.
• Optimize file layout, clustering, compaction, data skipping, indexing, metadata pruning, and columnar read paths.
• Build adaptive engines and distributed compute pipelines that reorganize data based on workloads and remain reliable under failure.
• Debug performance bottlenecks across storage, metadata, query execution, network, and compute layers.
• Translate research in compression, probabilistic modeling, information theory, and learning efficiency into production systems.

Requirements

• Strong engineering depth in distributed systems, storage systems, databases, or data infrastructure.
• Production experience with data lake or lakehouse technologies such as Spark, Iceberg, Delta Lake, Hudi, Trino, Presto, Flink, Hive Metastore, or Unity Catalog.
• Hands-on experience with columnar formats such as Parquet or ORC.
• Understanding of metadata-driven architectures, table formats, query planning, and physical data layout.
• Strong programming skills in Rust, Go, C++, or similar systems-oriented languages.
• Pragmatic, rigorous, hands-on approach with ownership of complex systems end to end.

Nice to have

• Contributions to Apache Iceberg, Delta Lake, Apache Hudi, Spark, Flink, Trino, Presto, Velox, DuckDB, Polars, Parquet, ORC, or related systems.
• Experience with storage engines, query engines, indexing, caching, encoding, compression, or adaptive query optimization.
• Research or open-source contributions in distributed systems, databases, storage, compression, indexing, or data processing.
• Interest in how physical data representation affects model training, inference, retrieval, and reasoning efficiency.

Culture & Benefits

• Small, high-caliber engineering team working on enterprise-scale infrastructure problems.
• Direct influence on architecture, product direction, customer outcomes, and company growth.
• 401(k) with company match and comprehensive health coverage.
• Unlimited PTO and daily catered meals at the Mountain View office.
• Support for research, publication, and conference participation.