Software Engineer, Sensor Simulation

As a Software Engineer, Sensor Simulation at Anduril Industries, you'll be responsible for developing and maintaining advanced functionalities in Unreal Engine, focusing on creating a synthetic imagery pipeline that meets the needs of various teams. Your tasks will include collaborating with other platforms to ensure seamless integration, troubleshooting and fixing bugs, and partnering with different teams to enhance synthetic imagery applications.

To qualify for the Software Engineer, Sensor Simulation role at Anduril Industries, candidates must have at least 2 years of professional programming experience in C++ or Rust. A solid engineering background in fields like Computer Science or Software Engineering is essential, along with a proficiency in Unreal Engine. Good communication skills, adaptability to fast-paced environments, and a willingness to travel for collaboration are also vital.

Candidates for the Software Engineer, Sensor Simulation position at Anduril Industries should be well-versed in C++ or Rust programming languages, along with proficiency in Unreal Engine. Familiarity with GPU and graphics programming languages such as HLSL, Vulkan, or CUDA is a plus, as is experience with tools for performance analysis and debugging, including gdb and perf.

At Anduril Industries, the development environment for the Software Engineer, Sensor Simulation role predominantly revolves around Unreal Engine and a Linux environment. Candidates should be comfortable navigating these systems to effectively create and maintain the synthetic imagery platform that supports our military applications.

A career as a Software Engineer, Sensor Simulation at Anduril Industries offers exciting growth opportunities by working on innovative defense technologies. You'll have the chance to collaborate across various teams, enhance your skills with advanced programming and game development tools, and even take on leadership roles in future projects as you grow with the company.

When answering this question, provide specific examples of projects where you've used Unreal Engine, detailing the features you implemented and any challenges you overcame. Highlight your understanding of terrain rendering, physics modeling, or any relevant tools and techniques.

Discuss your systematic approach to debugging, including using performance analysis tools and your strategies for identifying and fixing bugs in remotely deployed systems. Sharing a specific experience that illustrates your problem-solving skills can strengthen your answer.

Outline your experience with C++ and Rust, explaining your preferences based on their features and applications. Provide instances where each language excelled in your projects, emphasizing how they contribute to efficient development.

If you have experience with machine learning, detail the projects you've worked on, particularly those related to computer vision. Discuss how you integrated ML techniques into your work and the impact they had on enhancing simulation accuracy.

Discuss your knowledge of critical data structures and algorithms, and how they apply to optimizing performance in game development. Provide examples of situations where effective use of these concepts produced significant improvements.

Share a specific example of a project where teamwork was essential. Explain your role in facilitating communication between teams, how you ensured project alignment, and any successful outcomes that came from your collaboration.

Talk about your experience with tools like gdb or perf. Describe specific performance bottlenecks you encountered in previous roles and how you utilized these tools to diagnose and resolve issues effectively.

Discuss your commitment to continuous learning by mentioning resources such as online courses, forums, industry publications, or networking with professionals. Explain how staying current has benefitted your previous work or projects.

Reflect on qualities such as adaptability, technical proficiency, strong communication skills, and a passion for innovation. Illustrate how these traits have shaped your career and would contribute to your success in this role.

Highlight any projects involving GPU programming, specifically mentioning languages like HLSL, Vulkan, or CUDA. Discuss the outcomes of your work and how your knowledge in this area can be applied to the position.