Anduril Industries is a defense technology company aiming to transform U.S. and allied military capabilities by integrating 21st-century innovative company practices into the defense industry. The company seeks to modernize military systems design, development, and sales through advanced technology, including AI, autonomy, computer vision, sensor fusion, and networking.
Requirements
- At least 4-10+ 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
- Ability to quickly understand and navigate complex systems and established code bases
- 1-2 years of experience with applied ML or MLOps, including experience in some or all the following areas:
- Developing and deploying machine learning models for production applications
- Utilizing machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Building and maintaining data pipelines for training and inference such as Kubeflow, MLflow, MetaFlow
Responsibilities
- Own the software solutions that are deployed to customers
- Write code to improve products and scale the mission capability to more customers
- Collaborate across multiple teams to plan, build, and test complex functionality
- Create and analyze metrics that are leveraged for debugging and monitoring
- Triage issues, root cause failures, and coordinate next-steps
- Partner with end-users to turn needs into features while balancing user experience with engineering constraints
- Own software spanning Menace Platform: command & control, planning, autonomy, optimization, mesh platform.
Other
- Travel up to 30% of time to build, test, and deploy capabilities in the real world
- Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
- A desire to work on critical software that has a real-world impact
- Implementing ML algorithms to solve domain-specific problems
- "Whatever It Takes" mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.
