Applied Intuition
Software Engineer
About this role
Applied Intuition seeks a Software Engineer to design and deploy ML-driven systems for autonomous vehicles and physical AI applications. You'll build scalable pipelines for sensor data processing, develop behavior prediction models, and integrate them into production systems serving top automakers and defense organizations.
What you'll do
- Design and deploy ML components for behavior prediction and environmental understanding in autonomous systems
- Build scalable data pipelines to process time-series sensor data and transform raw logs into structured training datasets
- Develop testing frameworks and validate model performance against real-world ground truth data
- Implement state estimation and decision planning algorithms using deep learning or reinforcement learning methods
- Integrate trained models into production systems ensuring low-latency performance and cross-module compatibility
- Maintain code quality through modular design, testing strategies, and continuous model delivery infrastructure
What they're looking for
- Python programming
- Go or C++
- Deep learning frameworks and model training
- Scalable software systems and data pipeline architecture
- SQL and data modeling
- Git version control
- Cloud infrastructure and containerization
- Deep neural networks, generative models, or reinforcement learning
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Applied Intuition
Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.
- Website
- appliedintuition.com
Likely interview questions
- Describe a time you built a data pipeline for time-series or sensor data—what challenges did you face and how did you optimize it?
- How have you approached validating ML model performance in production or simulated environments?