Senior Software Engineer, Backend - SIGNew$253K

Anduril Industries
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The opportunity

Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible…

What you'll do

  • Design and implement backend services that orchestrate simulation frameworks,: digital twin validation workflows, and V&V automation pipelines.

  • Develop APIs that expose validation results, geometric comparison data, and: simulation outputs to downstream consumers including UE5 visualization, quality systems, and operational dashboards.

  • Partner with manufacturing engineers and factory operators to understand: production workflows and translate them into backend service requirements.

  • Write production-quality code with comprehensive tests, participating in code: review and architectural discussions.

  • Build backend integration layers that retrieve 3D CAD geometry, as-built scan: data, quality measurements, and engineering specifications from PLM, MES, and quality management systems.

  • Design and maintain databases optimized for storing simulation results,: validation findings, geometric comparison data, and historical V&V records.

What they're looking for

  • Experience in manufacturing, industrial, or OT-adjacent domains (MES, SCADA,: PLC integration, factory automation, IoT).
  • Previous experience building backend systems that integrate with PLM: (Teamcenter, Windchill), quality management systems, or CAD/CAM platforms.
  • Experience with simulation frameworks, digital twin systems, or backend services supporting V&V automation.
  • Background in systems that process and query 3D geometric data, point clouds, mesh data, or CAD models.
  • Experience with event-driven architectures, message queues (Kafka, RabbitMQ,: NATS), or stream processing frameworks.
  • Familiarity with frontier AI tooling, AI coding assistants, and AI-enabled software development workflows.
  • Experience in hyper-growth startup-like environments, with demonstrated: success balancing speed, ambiguity, and long-term system health.
  • Familiarity with microservices architecture patterns, API gateway patterns, and service mesh technologies.