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 end-to-end technical engagements with external partners, owns integration design across engineering teams, and authors reference architectures and documentation for Anduril's Warfighter Systems. Works with API/service-based systems (REST/gRPC), security clearances, and defense technology.
Software Engineer developing real-time path planning, trajectory optimization, and autonomous mission execution for command and control systems in defense technology, using C/C++ and Rust to build algorithms for multi-agent coordination and vehicle autonomy.
Software Engineer focusing on guidance, navigation, and control (GNC) modeling for defense command-and-control systems. Builds high-fidelity physics simulations, trajectory prediction, and resource allocation models using Python, MATLAB, and C/C++ to support real-time threat prediction and autonomous mission execution.
Infrastructure/DevOps engineer owning CI/CD and integration test infrastructure for command & control software, maintaining observability stack (Grafana/Prometheus), and migrating to next-gen tooling (Terraform, RKE2, ArgoCD) using Kubernetes, CircleCI, AWS, and Python.
Infrastructure/DevOps engineer maintaining CI/CD and integration test infrastructure for command and control software, managing observability stack (Grafana, Prometheus), and migrating to next-gen tooling (Terraform, RKE2, ArgoCD) on AWS/Kubernetes.
Software Engineer on Anduril's Battlespace Awareness team, supporting core defense software tools and building ML infrastructure for parameter optimization and CI regression detection. Uses Python/Rust/C++, real-time systems, CI/CD, and ML methods such as hyperparameter optimization and anomaly detection.
Software Engineer on Anduril's Battlespace Awareness team, building and supporting core defense software tools and ML infrastructure for parameter optimization and CI performance regression detection. Works with Python/Rust/C++, GitHub CI/CD, and ML techniques like hyperparameter optimization and anomaly detection.
Software Engineer specializing in robotics tracking and sensor fusion for defense systems; designs and deploys real-time algorithms (Kalman/particle filters, multi-target tracking) in C/C++, Python, and Matlab, requiring US Top Secret clearance.
Designs and maintains high-performance Rust software for real-time defense systems, architecting production codebases and deploying algorithms for target tracking, multi-sensor fusion, and state estimation (with Python) in small mission-focused teams at Anduril Industries.
The engineer will architect and maintain complex software systems, writing high-performance Rust for real-time tracking, multi-sensor data fusion, and state estimation in defense applications. Core technologies include Rust, Python, and applied mathematics for estimation and signal processing.
Systems Engineer for Anduril's Enterprise Mesh team supporting US Army's NGC2 program; leads partner integrations, designs cross-organizational APIs/gRPC services, authors reference architectures, and scales onboarding across defense networks. Requires active Top Secret clearance and 3+ years in systems engineering or solutions architecture.
Maintains CI/CD and integration test infrastructure and observability (Grafana, Prometheus) for defense command-and-control software, while leading migration to Terraform, RKE2, and ArgoCD.
Senior Software Engineer on Anduril's Battlespace Awareness team builds and maintains core defense software tools and ML infrastructure for hyperparameter optimization, anomaly detection, and explainable ML, using Python/Rust/C++ with CI/CD pipelines.
The engineer owns CI/CD and integration test infrastructure for Anduril's command and control software, maintains Grafana/Prometheus observability and data pipelines, and helps migrate the team to Terraform, RKE2, and ArgoCD tooling.
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
Distinguished Solution Engineer for UK Public Sector at Salesforce, leading technical discovery and solution strategy for strategic government accounts. Builds demos/prototypes, shapes AI/data perspectives (Agentforce, RAG), and partners with sales to drive digital transformation using Salesforce platform (Industry Clouds, Data Cloud, Agentforce).
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