Artificial Intelligence (AI), Audio Engineering, C++ Programming Language, Chemistry, Computer Engineering, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Processing, Data Quality, Docker, Establish Priorities, Go Programming Language (Golang), Hardware Quality Assurance, Identify Issues, Java, JavaScript, Machine Learning, Mathematics, Network System Hardware, Physics, Product Design, Programming Languages, Python Programming/Scripting Language, Robotics, Rust Programming Language, Simulation, Software Engineering, System Integration (SI), Time Management, Virtualization, Workflow Analysis
ABOUT THE TEAM
The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. Were the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.
ABOUT THE JOB
As a Software Engineer in the Discovery team, you will tackle a diverse range of challenges in networking, autonomy, systems integration, robotics, and more. Your work will ensure seamless integration of Anduril products to achieve critical outcomes. You will work on a fast-paced team and have opportunities to watch your creations operate in fielded deployment environments.
Above all, Software Engineers at Anduril must embody a "Whatever It Takes" mindset-executing tasks expediently, scalably, and pragmatically while prioritizing the mission. You will make sound engineering decisions to deliver high-quality outcomes on time. In addition to building the software, you will work directly with customers to deploy it.
WHAT YOULL DO
- Work on challenging problems in a fast-paced environment from across our portfolio of programs and products
- Standing up the infrastructure, simulation solutions, and integrations for agent development
- Create data analysis and validation workflows
- Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user
- Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions for agent training
- Identify problems; solve them: implement robust, high-quality solutions
REQUIRED QUALIFICATIONS
- Bachelor's Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
- 3 - 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
- Experience building software solutions involving significant amounts of data processing and analysis
- Hands-on experience with Docker for building and managing containerized applications, deploying and scaling services on Kubernetes clusters, and configuring CI/CD pipelines
- Ability to quickly understand and navigate complex systems and established code bases
- A desire to work on critical software that has a real-world impact
PREFERRED QUALIFICATIONS
- Demonstrated experience in machine learning training infrastructure and deployments
- Expertise in virtualization and containerization technologies
- Experience with SITL and HITL simulation infrastructure design, development, and deployment for complex systems