Applied Intuition
Robotics · Autonomous-vehicle software
Robotics · Autonomous-vehicle software
Applied Intuition has 5 active AI-related job listings. The majority of these roles, 80%, are focused on agents, with 20% in post-training. The company is hiring for engineering roles in the United States and Japan. Their technical focus appears to involve agent orchestration, multimodal capabilities, and vision systems. In the last 30 days, Applied Intuition posted 6 new AI roles, a 40% decrease compared to the previous 30-day period.
Currently tracking 14 active AI roles, up 45% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $100k–$423k (avg $212k).
Applied Intuition currently has 15 active AI-related roles in our index. The most common open titles are: Autonomy Integration Software Engineer (2), Perception & Fusion Engineer (2), Robotic Software Engineer, Perception (2), Senior C++ Software Engineer (Collaborative Autonomy) (2), LVC Simulation Integration Engineer. Most positions are in Engineering and Product.
Applied Intuition's active AI hiring is concentrated in: agents (80%), data (20%). 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 (10 roles), Japan (2 roles).
In the past 30 days, Applied Intuition has posted 19 new AI-related roles. That is a +217% change versus the prior 30 days (6 → 19).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Data Engineer The role focuses on building and evolving the data engine for training perception models, including edge applications and cloud data pipelines. It involves optimizing ML model execution, ingesting video data, and integrating foundation models for labeling and QA. The goal is to enable continual improvement of models deployed to the edge. | DataPost-train | 7 |
| Robotic Software Engineer, Perception Develops, integrates, and maintains real-time AI/ML sensor software solutions for autonomous vehicles and other physical AI applications, focusing on sensor data processing, fusion, and control. | Data | 7 |
| Senior MLOps Engineer MLOps Engineer role focused on building the data engine for training perception models, including edge applications and cloud data pipelines. Responsibilities include optimizing model execution, scaling data annotation, and integrating foundation models for enhancement. | DataServe | 7 |