Applied Intuition
Robotics · Autonomous-vehicle software
Robotics · Autonomous-vehicle software
Applied Intuition currently has 63 active AI-related roles in our index. The most common open titles are: Applied Perception Engineering Lead (2), Autonomy Integration Software Engineer, C++ Software Engineer (Autonomous Systems), C++ Software Engineer - Autonomy/Physical AI, Data & ML Pipeline Software Engineer. Most positions are in Engineering and Research.
Applied Intuition's active AI hiring is concentrated in: agents (32%), data (19%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Applied Intuition is hiring AI talent in: United States (58 roles), South Korea (2 roles), United Kingdom (1 role).
Job postings at Applied Intuition most frequently reference: model serving, multimodal, inference infra, agent orchestration, vision.
In the past 30 days, Applied Intuition has posted 10 new AI-related roles. That is a +25% change versus the prior 30 days (8 → 10).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist - 3D Vision and Generation, Self-Driving Research Scientist focused on 3D vision and generation for autonomous driving and robotics, involving multi-modal pretraining and foundation models. The role involves research publications and collaboration with engineering teams for deployment. | PretrainPost-train | 9 |
| Research Engineer - Reinforcement Learning, Self-Driving Research Engineer role focused on Reinforcement Learning for self-driving and robotics applications. Involves research on RL training infrastructure, self-play RL, VLA post-training, and deploying algorithms for mass production vehicles. Requires strong Python, PyTorch, computer vision, robotics, and distributed ML skills. |
| 9 |
| Research Engineer - 3D Vision and Generation, Self-Driving Research Engineer focused on 3D vision and generation for physical AI applications like autonomous driving and robotics. The role involves conducting research on foundation models, multi-modal pretraining, and Gaussian splatting, with a goal of publishing research and deploying algorithms for mass production vehicles and autonomy development tools. | PretrainShip | 9 |
| Research Intern - World-Action Foundation Model, Robotics Research Intern role focused on pretraining world-action foundation models for robotics and autonomous driving, incorporating vision and physics modalities. The role involves research on topics like vision-physics association, world foundation models, and spatial reasoning, with a goal of high-quality research publications. | Pretrain | 9 |
| Research Intern - Robotic Hardware, Simulation and Data Research Intern role focused on physical AI for autonomous driving and robotics, involving research and contributing to high-quality publications. Requires a strong background in ML, computer vision, graphics, or robotics. | Data | 9 |
| Research Intern - Reinforcement Learning, Robotics Research Intern role focused on reinforcement learning for robotics, including large-scale closed-loop RL and VLA post-training, with the goal of contributing to high-quality research publications. | Post-trainAgent | 9 |
| Research Intern - 3D Vision and Generation, Self-Driving Research Intern role focused on 3D vision and generation for autonomous driving and robotics, involving foundation models and multi-modal pretraining, with a goal of publishing research at top-tier conferences. | Pretrain | 9 |
| Research Engineer - Robot Learning Research Engineer role focused on robot learning, including setting up hardware, constructing simulation environments for RL training, processing human data for robotics, and collaborating on research publications and end-to-end algorithm deployment for autonomous systems. The role involves working with foundation models, diffusion policies, multi-modal robot learning, VLA post-training, and reinforcement learning. | DataPost-train | 9 |
| Research Scientist - World-Action Foundation Model, Robotics Research Scientist focused on pretraining world-action foundation models for robotics and autonomous systems, incorporating various modalities like vision and physics. The role involves research publications and collaboration with engineering teams for deployment. | PretrainAgent | 9 |
| Research Scientist - Reinforcement Learning, Self-Driving Research Scientist role focused on Reinforcement Learning for autonomous driving and robotics, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role involves research publications and collaboration with engineering teams to deploy algorithms into products. | Post-trainAgent | 9 |
| Research Intern - Reinforcement Learning, Self-Driving Research Intern role focused on Reinforcement Learning for self-driving and robotics applications, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role emphasizes research publications and collaboration with scientists and engineers. | Post-trainAgent | 9 |
| Research Scientist - Reinforcement Learning, Robotics Research Scientist role focused on Reinforcement Learning (RL) and Vision-Language Model (VLA) post-training for robotics and autonomous systems, with an emphasis on dexterous manipulation. The role involves conducting research, publishing in top-tier conferences, and collaborating with engineering teams to deploy algorithms. Requires a strong research record in RL and VLA for robotics, with a relevant MSc or PhD. | Post-trainAgent | 9 |
| Research Engineer, AI/RL Infrastructure (Research) Research Engineer focused on AI/RL Infrastructure for robotics simulation, involving data pipelines, training, and potentially fine-tuning models. | DataPost-train | 8 |
| Research Engineer - Robotic Hardware, Simulation and Data Research Engineer focused on robotic hardware, simulation, and data processing for physical AI, with applications in autonomous driving and robotics. Involves setting up hardware, constructing simulation environments for RL training, processing human data, and collaborating on research publications and deployment of end-to-end algorithms. | DataServe | 8 |