Applied Intuition
Research Engineer - New Grad (2027)
About this role
Applied Intuition seeks recent PhD or MS graduates to join their Research Group as Research Engineers, developing cutting-edge algorithms for autonomous driving and robotic systems. You'll translate academic research into production-deployed autonomy solutions while collaborating with engineering teams and publishing at top-tier conferences.
What you'll do
- Deploy end-to-end algorithms for autonomous vehicles in production systems
- Develop data-driven generation algorithms for simulation and testing tools
- Conduct research on architecture design, robustness, safety, and multi-modal integration
- Publish high-quality research at premier conferences alongside Research Scientists
- Collaborate across ADAS stack, simulation, and research teams
- Test and validate autonomy methods on real fleet data and robotic platforms
What they're looking for
- Python and PyTorch
- Computer vision
- Machine learning (foundation models, diffusion, reinforcement learning)
- Robotics systems and autonomous vehicle stacks
- Distributed machine learning training
- Research methodology and academic writing
- Physics-aware simulation or reconstruction
- Multi-modal learning (VLA, video generation, Gaussian splatting)
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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 research project from your thesis and how you would adapt it for production deployment in autonomous vehicles.
- Which of the listed specializations (foundation models, VLA, physics-aware reconstruction) aligns most with your experience, and why?