Builds scalable data infrastructure for peta-to-exabyte scale training on thousands of GPUs, including data loaders, petabyte storage systems, multi-cloud abstractions, and performance debugging for AI models.
Base Annual Salary (SF based role): $180,000–$300,000 USD + Equity
Designs and implements petabyte-scale data processing systems and pipelines for pre-training large language models, focusing on high-throughput CPU/GPU processing, data quality, and multi-cloud management. Requires strong systems skills in distributed data systems.
Leads modeling, simulation, and wargaming to evaluate autonomous aircraft performance, survivability, and mission impact in military scenarios. Collaborates with engineering and DoD stakeholders using tools like AFSIM, STK, MATLAB, and Python; requires 10+ years experience and security clearance.
Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.
Designs, implements, and optimizes high-performance batch processing infrastructure handling hundreds of petabytes using Spark, Presto/Trino, and Iceberg. Requires 6+ years in scalable big data systems and proficiency in Java, Scala, or Python.