Anduril Industries
Software Engineer, Perception
About this role
Anduril Industries seeks a Software Engineer specializing in computer vision and machine learning to develop perception systems for tactical UAVs. You'll prototype innovative solutions using state-of-the-art techniques, integrate classical and ML-based computer vision methods, and work with cross-functional teams to build and benchmark core libraries for autonomous aerial systems.
What you'll do
- Design and prototype innovative perception solutions for UAV systems using advanced computer vision techniques
- Develop and maintain core perception libraries and runtime applications
- Integrate classical geometric computer vision methods with modern machine learning approaches
- Collaborate with ML and Data Infrastructure teams to build performance benchmarks
- Deploy and optimize ML models using TensorRT and ONNX frameworks
- Write and maintain automated continuous integration tests for perception systems
What they're looking for
- C++ development (Linux environment)
- Python and deep learning frameworks (PyTorch, TensorFlow)
- Object detection, tracking, or segmentation algorithms
- Computer vision fundamentals (SLAM, visual odometry, 3D geometry, sensor fusion)
- Model deployment (TensorRT, ONNX)
- ML algorithm development on large-scale datasets
- CUDA (preferred)
- CI/CD testing and automation
Benefits
- Competitive salary ($191,000–$253,000 USD)
- Equity grants included in compensation package
- Relocation benefits to Costa Mesa headquarters
- Comprehensive health, dental, and vision coverage
- Top-tier benefits package for full-time employees
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through your experience with object detection or object tracking—what architectures have you implemented, and how did you evaluate their performance on large-scale datasets?
- Describe your experience deploying ML models using TensorRT and ONNX. What challenges did you face optimizing for inference on resource-constrained platforms?