Robotics Software Engineer, UAV

As a Robotics Software Engineer at Anduril Industries, your primary responsibilities include developing core robotics libraries, leading major feature implementations, collaborating closely with hardware teams, troubleshooting deployed systems, and contributing to multi-agent coordination systems for UAVs. You'll be integral to ensuring that our advanced products, like our autonomous drones, operate seamlessly and effectively.

To qualify for the Robotics Software Engineer role at Anduril Industries, candidates should possess a Bachelor's degree in Robotics, Computer Science, or a related field, along with at least 3 years of professional software development experience. Proficiency in C++ or Rust is essential, and familiarity with Linux environments and robotics principles like data structures and algorithms is key. Strong problem-solving skills and excellent communication abilities are also important.

In the Robotics Software Engineer position at Anduril Industries, you will work with cutting-edge technologies, including AI, machine learning, sensor fusion, and advanced robotics systems. You'll utilize programming languages such as C++, Rust, and Python, and engage with real-time operating systems and distributed computing environments. Your role will involve innovative solutions that push the boundaries of aerial drone technology.

While some flexibility may exist, the Robotics Software Engineer position at Anduril Industries is primarily based in Atlanta, Georgia, where collaboration with cross-functional teams and hands-on work with drone systems is essential. However, Anduril is open to discussing relocation assistance and benefits for candidates interested in moving to this dynamic hub of innovation.

The team culture for Robotics Software Engineers at Anduril Industries emphasizes collaboration, innovation, and a

When developing core robotics libraries for UAV systems, it's crucial to start by understanding the system requirements and use cases. Break down the library into functional components like frame transformations and guidance systems, ensuring they are modular and reusable. Testing each component thoroughly, both in simulations and real world scenarios, ensures optimal performance and integration.

During your interview, be prepared to describe a challenging project, such as designing a trajectory control system for an autonomous drone. Explain the problem, your approach, the technologies you used, and how you collaborated with hardware teams to ensure the project was successful.

For troubleshooting complex software systems, a systematic approach is key. Start by isolating the issue, using logs and monitoring tools. Analyze data to identify patterns, and if necessary, run user simulations to replicate the problem. Collaboration with hardware teams can also provide insights that lead to effective solutions.

To ensure that your software aligns with mission goals, it's essential to maintain open communication with stakeholders. Regular meetings can provide insights into evolving objectives and requirements. Additionally, incorporate a testing phase that focuses on mission-critical scenarios to verify that the software delivers the desired outcomes.

Discuss specific instances where you've identified performance bottlenecks in robotics software. Explain the optimization techniques you utilized, such as algorithm improvements, memory management, or handling concurrency issues. Providing quantifiable outcomes from these optimizations will strengthen your answer.

Describe any projects related to multi-agent systems you've worked on. Highlight your understanding of coordination strategies, communication protocols between UAV units, and the challenges associated with managing multiple agents in a dynamic environment. Your insights into emerging technologies in this field will also reflect your knowledge.

Talk about anticipated challenges such as evolving AI algorithms, real-time data processing demands, and regulatory advancements. Emphasize your proactive approach in staying updated with industry trends and innovations, as well as how you plan to tackle these challenges head-on.

Collaboration is essential during debugging phases. Explain how you would share insights with hardware teams to troubleshoot issues effectively. This could involve joint test sessions, creating comprehensive documentation for issues encountered, and maintaining a feedback loop to facilitate solutions.

Identify specific programming tools and languages, such as C++, Rust, or Python, that you are proficient in. Share examples of how you utilized these languages in past projects, emphasizing both software development and the integration with hardware systems to streamline your work.

Discuss your methods for staying informed about advancements in robotics, such as attending industry conferences, engaging with research papers, and being part of online communities. Mention specific resources or influencers in the industry that inspire you, and how you apply this knowledge to your work.