Senior Software Engineer - Time Systems

Senior Software Engineer - Real Time Systems Develop real-time software systems for autonomous vehicles in a hardware-in-the-loop environment.

Location:

Seattle

Compensation: $168, USD / year

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 century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We build Lattice - the foundation for everything we do as a defense technology company. Our engineers are talented, hard‑working and above all, motivated by the prospect of seeing their work rapidly deployed on the front lines. Our team is not just building an experiment in waiting - we deploy what we build on the Southern border, Iraq, Ukraine and more.

We have open roles on a variety of teams within Platform Engineering - ranging from core infrastructure, distributed systems, embedded computing, robotics autonomy systems and more. We hire motivated people - those who hold a higher bar for themselves than anyone else could hold for them. If you love building infrastructure, platform services, or just working in high performing engineering cultures - you should apply!

YOU SHOULD APPLY IF YOU

• At least 5+ years working with a variety of programming languages such as C, C++, Rust, Python, etc.
• Have experience working with customers to deliver novel software capabilities
• Want to work on building and integrating model/software/hardware-in-the-loop components by leveraging first and third party technologies (related to simulation, data management, compute infrastructure, networking, and more)
• Love building platform and infrastructure tooling that enables other software engineers to scale their output
• Enjoy collaborating with team members and partners in the autonomy domain, and building technologies and processes which enable users to safely and rapidly develop and deploy autonomous systems at scale
• Are a U.S. Person because of required access to U.S. export controlled information

Note:

The above bullet points describe the ideal candidate. None of us matched all of these at once when we first joined Anduril. We encourage you to apply even if you believe you meet only part of our wish list.

• Experience working in real time systems such as robotics, networking, tracking and fusion, modeling and simulation, game development, 3D graphics, etc.
• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc. If you've succeeded in a low structure, high autonomy environment you'll succeed here!
• Professional software development lifecycle experience using tools such as version control, CICD systems, etc.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems)
• Ability to quickly understand and navigate complex systems and established code bases
• Experience implementing robot or autonomous vehicle testing frameworks in a software-in-the-loop or hardware-in-the-loop (HITL) environment
• Experience with modern build and deployment tooling (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration