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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Leads Anduril's data ontology and analytics modeling for domains such as Finance, Supply Chain, and Manufacturing, building SQL-based data models and pipelines with dbt, SQLMesh, Palantir Foundry, Athena, Iceberg, and Flyte while partnering with stakeholders to drive data-driven decisions.
Builds and maintains ETL/ELT pipelines and data models that turn HR system data (HRIS, ATS, LMS) into analytics-ready datasets for people analytics. Uses SQL, Python, dbt, Airflow/Flyte and cloud warehouses (Snowflake, BigQuery, Redshift) to support People Analysts and HR stakeholders while enforcing data quality and privacy (GDPR, CCPA).
Senior Data Engineer at Anduril Industries designing and building data pipelines, models, and the data platform using Palantir Foundry, SQLMesh, Athena, Iceberg, Flyte, and AWS/Azure/GCP, while leading team members in a player-coach role.
Lead the design, development, and deployment of ML models and data pipelines for autonomous maritime and air systems, managing the full ML lifecycle from data curation to production in a classified environment. Work spans computer vision, sensor processing, MLOps, and cross-functional integration with engineering teams.
A Senior ML Engineer at Anduril Industries bridges ML research and production by hardening and deploying ML systems on factory floors and in the cloud. The role owns MLOps infrastructure, inference pipelines, on-call rotations, and cross-functional coordination using Python, PyTorch/TensorFlow, Docker, Kubernetes, and edge/OT environments.
Designs and operates Anduril's cloud telemetry backbone, building ingestion pipelines, storage, and tooling that carry vehicle data from onboard systems to the cloud and make it searchable for analysis. Core technologies: Python and Rust backend services, Kubernetes/Docker, and lakehouse/streaming tools such as Iceberg, Delta Lake, Kafka, Spark, and Flink.
Software Engineer on Anduril's ML Infrastructure team, building and operating core model training, dataset management, and perception platform systems for perception engineers, including training orchestration across cloud and on-premise compute, ML tooling/SDKs, frontier model integration, and ML lifecycle observability for autonomous edge systems.
Software Engineer on the Robotics Data Foundation team building cloud-native telemetry ingestion, storage, and analysis systems for defense robotics using Python, Rust, Kubernetes, Kafka, and lakehouse architectures (Iceberg/Delta Lake).
Leads a team of analytics engineers as a player-coach, building end-to-end data models and ontologies (e.g., Finance, Supply Chain) that power business decisions. Uses SQLMesh, Palantir Foundry, Athena, Apache Iceberg, and Flyte to deliver secure, trusted data products while mentoring reports and partnering with non-technical stakeholders.
Senior Scientific Software Engineer at AQEMIA, a drug invention startup, translating physics-based statistical mechanics and generative AI models into scalable, production-grade Python software. Day-to-day involves optimizing GPU-accelerated compute, building MLOps pipelines, designing modular scientific computing architecture, and collaborating with physicists and ML researchers to deploy cheminf
Designs and maintains high-performance Java and Spring Boot backend services, builds large-scale data processing pipelines with Apache Spark and Spark SQL, and collaborates with data scientists to productionize machine learning models for recommendation and personalization platforms.
Senior Software Engineer on Coinbase's Data Platform team who builds SDKs, self-service applications, and data abstractions so analysts and data scientists can create and manage pipelines without understanding the underlying infrastructure. The role uses Snowflake/Databricks, Python or Java, SQL, and pipeline tooling to support internal data teams.
Senior Software Engineer on Instacart's Ads Data Solutions team, designing and shipping scalable data-intensive systems for off-platform advertising, cleanrooms, taxonomy automation, and platform foundations while mentoring engineers and driving AI-assisted development.
Sr Data and AI Engineer at Abstra, a nearshore talent firm, designing and delivering cloud-native data platforms, pipelines, and ML/GenAI solutions for clients using AWS, Terraform, SQL, Python, and modern data stack (Snowflake, Spark, Kafka). Hands-on role with client-facing responsibilities and 6+ hour US Pacific Time overlap.
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