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.
Anduril's Quality Intelligence team is hiring a site-resident analytics lead for its Arsenal-1 factory in Ashville, OH. The person builds and runs production dashboards, pipelines, and quality metrics from ERP/MES/QMS data using Palantir Foundry, Databricks, SQL, and Python, while working on the manufacturing floor and using AI-assisted tools.
Senior Frontend Software Engineer at Anduril Industries, building React-based UX and primitives for offensive cyber programs, enabling command-and-control, autonomous behavior trees, and AI/LLM-enhanced cyber operation pipelines.
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…
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.
Leads offensive security engagements across Anduril's hardware, firmware, software, cloud, web, network, wireless/RF, and physical systems; performs penetration testing, red teaming, and novel vulnerability research using LLMs/agents to harden defense technology products.
The Senior Quality Engineer, Applied AI is the quality and reliability lead on a small senior AI development pod at Anduril, designing test strategies and release readiness criteria for AI-enabled software, automation, and agentic workflows. The role combines hands-on automated testing, observability, and CI/CD with systems-level quality strategy for LLM-enabled applications.
Builds scalable services, APIs, and SDKs for Anduril's Lattice for Cyber platform, integrating offensive cyber tools and deploying with customers. Works with C/C++, Python, Go, Rust, TypeScript/React, Linux, containers, and distributed systems across edge and enterprise networks.
Backend software engineer who owns Anduril's internal LLM agent framework, building platform capabilities so teams can develop, evaluate, and deploy reliable LLM agents in mission-critical defense environments. Core technologies include agent orchestration, model post-training, evaluation tooling, and cloud infrastructure.
Software Engineer building core backend services, APIs, and SDKs for offensive cyber products on the Lattice platform, integrating cyber tools, designing distributed systems for edge-to-enterprise deployment, and incorporating AI/LLM workflows. Uses C/C++, Python, Go, Rust, TypeScript/React, Linux, containers.
Designs, builds, and scales Anduril's machine learning platform for autonomous defense systems, creating MLOps tooling, distributed training and model-serving infrastructure, and ETL pipelines for terabytes of multi-modal sensor data across cloud and air-gapped tactical edge environments, while leading and mentoring the infrastructure team.
Staff Software Engineer architecting distributed systems for Anduril's Manufacturing Execution System (Forge MES), building work order management, scheduling, and material flow tools using TypeScript, React, and AWS to transform defense hardware production.
Staff Software Engineer on the founding Lattice for Cyber team, building scalable services, APIs, and SDKs for offensive cyber products (command & control, autonomous behavior trees, SIGINT analysis, data exfiltration) using C/C++, Python, Go, Rust, and TypeScript/React, integrating with Lattice OS and deploying across edge-to-enterprise networks.
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