Anduril Industries is a defense technology company aiming to transform military capabilities with advanced technology, specifically by integrating 21st-century innovation into the defense industry to modernize how military systems are designed, built, and sold. The Menace Platform Software Engineering team is focused on solving a wide variety of problems involving networking, autonomy, systems integration, and robotics to ensure Anduril products work seamlessly together for critical outcomes.
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.
