Anduril Industries
Software Engineer, Geospatial Platform (Terra)
About this role
Join Anduril's Geospatial Platform (Terra) team to build cloud infrastructure and edge software that processes and delivers geospatial data at scale. You'll design high-performance systems supporting military warfighter missions through Lattice OS, collaborating across business lines to create resilient, innovative solutions.
What you'll do
- Design and implement data ingestion pipelines for large-scale geospatial datasets
- Develop cloud-based platforms enabling user access to geospatial data
- Build edge software for high-performance offline geospatial data access
- Collaborate with Lattice service teams and business lines to synthesize cross-company solutions
- Design and iterate on complex software systems through technical design reviews
- Work across multiple business units to understand requirements and deliver platform capabilities
What they're looking for
- Multi-language programming (Go, C++, Java, Python, JavaScript/TypeScript, Rust)
- Cloud platforms (AWS, Azure) and Kubernetes
- CI/CD and GitOps tools
- Distributed systems and infrastructure fundamentals
- Scalable backend system design
- Infrastructure as Code (Terraform, Crossplane)
- Monitoring, logging, and data management tools
- Security clearance eligibility
Benefits
- Competitive equity grants
- Top-tier benefits for full-time employees
- Work on cutting-edge autonomy and AI technology
- Mission-driven defense technology company
- Collaborative environment across multiple business lines
- Low-structure, high-autonomy work setting
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a data pipeline you've built—what were the performance bottlenecks and how did you optimize for scale?
- Describe your experience with Kubernetes and cloud infrastructure; how have you handled high availability and resilience?