ABOUT THE TEAM
The Lattice Platform is dedicated to building a comprehensive, integrated platform that enables efficient data management, task orchestration, and system-wide interoperability. Lattice, the foundation for everything we do as a defense technology company, consists of talented and hard-working engineers who are motivated to see their work rapidly deployed on the front lines. Unlike teams building experimental systems, we deploy our solutions in real-world environments. Our work spans core infrastructure, distributed systems, web development, networking, and other critical areas that form the backbone of Anduril's defense technology ecosystem. By combining these diverse, yet interconnected areas of expertise, we aim to create a powerful, scalable ecosystem that supports autonomous robots, data-driven decision-making, and innovative applications across all war-fighting domains. Our ultimate goal is to deliver a cohesive software infrastructure that drives technological advancement and operational efficiency for Anduril.
ABOUT THE JOB
We are looking for multiple Senior Software Engineers to join our rapidly growing platform team. In this role, you will be responsible for developing and maintaining the foundational systems that power Anduril's defense technology products. You will build infrastructure, platform services, and integration components that enable our entire engineering organization to operate efficiently at scale. This will require expertise in various programming languages, system architecture, and collaborative problem-solving. If you are someone who is self-motivated, holds yourself to high standards, and thrives in a low-structure, high-autonomy environment, then this role is for you.
WHAT YOU'LL DO
- Design and implement core infrastructure components that support Anduril's defense technology applications
- Develop platform services that enable other software engineers to scale their output
- Work with simulation, data management, compute infrastructure, and networking technologies
- Collaborate with customers to deliver novel software capabilities
- Partner with team members in the autonomy domain to create technologies and processes
- Enable users to safely and rapidly develop and deploy autonomous systems at scale
- Participate in technical design reviews and architecture discussions
- Implement robust monitoring, logging, and data management solutions
REQUIRED QUALIFICATIONS
- 7+ years working in an engineering environment: a startup (or startup-like environment), engineering school, etc.
- 5+ years working with a variety of programming languages such as Go, C++, Rust, Python, Java, JavaScript/TypeScript, etc.
- Experience designing, developing, and integrating software for infra, cloud, web, autonomy, robotic applications
- Demonstrated ability to build platform and infrastructure tooling
- Experience working with customers to deliver novel software capabilities
- Strong collaboration skills, particularly in the autonomy domain
- Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
- Experience building or inventing something: an app, a website, game, or startup
- Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
- Experience building scalable backend software systems with various data storage and processing requirements
- Deep understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
- Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals
- Ability to quickly understand and navigate complex systems and established code bases
- Experience implementing robot or autonomous vehicle testing frameworks in HITL environments
- Experience with modern build and deployment tooling (e.g., NixOS, Terraform)
- Experience designing complex software systems and iterating upon designs via technical design reviews
- Familiarity with industry standard monitoring, logging, and data management tools and best practices
- A bias towards rapid delivery and iteration