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…
Monitors and responds to security incidents across Anduril's defense technology environment, triaging alerts, building detection signatures, and conducting threat hunting. Core technologies include Python, SIEM query languages (SPL/KQL/SQL), data lakes, and cloud infrastructure (AWS/Azure/GCP).
Monitors and responds to security incidents across Anduril's defense systems, triaging alerts, building detection signatures and playbooks, and conducting threat hunting. Uses Python, SIEM query languages (SPL/KQL/SQL), and data lake environments across cloud, endpoint, and network infrastructure.
Builds, scales, and optimizes Anduril's machine learning platform and MLOps tooling for autonomous systems, including training, evaluating, and serving AI models (LLMs, computer vision, RL) across cloud and air-gapped edge environments. Uses Python/Go/C++, Docker/Kubernetes, and distributed training frameworks.
Leads the physical and logical stability of Anduril's large-scale GPU training infrastructure: racking/stacking H200/B200/B300 systems, tuning NVLink/InfiniBand/RoCE fabrics, integrating parallel storage, and operating Kubernetes/Run:AI for ML teams. Core technologies: GPU clusters, high-speed networking, parallel storage, and infrastructure automation.
Verifies and validates hardware for autonomous aircraft across the product lifecycle, running environmental qualification, production acceptance, and ground/flight testing to ensure systems meet requirements. Works with MIL-STD standards, requirements traceability, and tools like Jama, DOORS, and Polarion.
Designs and implements real-time tracking algorithms for air and missile defense radar systems, processing sensor data to detect and track airborne threats. Works with C++ and Python in small engineering teams, using modeling and simulation to deploy production defense systems.
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).
Cookies?
A session cookie keeps you signed in. If you accept, we also use analytics cookies (Google Analytics and PostHog) to understand usage. Learn more
We couldn't check your fit for this role — add a CV to your profile to see it next time.