SciTech Only - Robotics Software Engineer

As a Robotics Software Engineer at Anduril Industries, your primary responsibilities will include writing and maintaining core libraries that support various robotics platforms, leading feature development, and collaborating with hardware teams to ensure seamless product integration. You’ll focus on creating software solutions for complex robotics problems, utilizing skills in areas such as motion planning and computer vision.

To be considered for the Robotics Software Engineer position at Anduril Industries, you should have a strong engineering background in relevant fields like Robotics, Computer Science, or Mathematics, preferably with at least 5 years of experience in C++ or Rust. It's also important to have skills in data processing and software design, as well as the ability to navigate complex systems.

In the Robotics Software Engineer role at Anduril Industries, C++ and Rust are the primary programming languages used for software development in our Linux environment. Proficiency in these languages is crucial for building efficient, high-performance robotics systems.

As a Robotics Software Engineer at Anduril Industries, you will work on exciting projects such as developing software for our Ghost and Anvil platforms, designing simulators, and creating control systems for autonomous operations. Each project aims to integrate advanced technologies like machine learning and sensor fusion to enhance military capabilities.

Candidates for the Robotics Software Engineer position at Anduril Industries are typically expected to hold a degree in engineering fields such as Electrical Engineering, Robotics, or Software Engineering. However, practical experience and skills in the relevant areas can also be exceptionally valuable.

When answering this question, highlight specific projects you've worked on that utilized C++ or Rust. Discuss how you approached problems in these languages, mentioning any challenges overcome and the impact of your work on the overall project efficiency.

In your response, provide a detailed example of a challenge you faced in robotics. Explain the context, the steps you took to resolve it, and the outcome. Emphasize your problem-solving method and the technologies or strategies you employed.

Discuss your understanding of AI and machine learning, specifically in the context of robotics. Mention any relevant experience, examples of projects where you've applied these technologies, and the results achieved.

When discussing motion planning, provide examples of systems you've worked on. Describe the techniques used and how you ensured successful navigation and maneuvering of robotic platforms.

Touch on best practices for coding, testing, and documentations, as well as security measures you've implemented in your previous projects to protect sensitive data and maintain the integrity of the software.

Explain your experiences collaborating with hardware teams, focusing on communication and problem-solving. Highlight specific challenges encountered and how teamwork contributed to the successful integration of software and hardware.

Talk about specific testing and debugging tools you've used in previous roles and why you find them effective. Discuss your approach to ensuring that software meets its performance criteria and is free of critical bugs.

Provide insight into the types of sensors you've integrated, the challenges faced during integration, and how your work impacted the overall performance of the robotic system.

Mention the resources you use, such as research papers, online courses, or community forums. Discuss your passion for continuous learning and provide examples of how you've applied new knowledge in previous work.

Share your thoughts on current challenges in the robotics sector, such as ethical considerations, technological limitations, or integration into traditional systems. Highlight your eagerness to contribute towards solutions in your future role.