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.
| Title | Stage | AI score |
|---|---|---|
| Robotic Software Engineer, Perception Robotic Software Engineer focused on developing, integrating, and maintaining real-time AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for various sensors (EO, IR, acoustics, radar, RF), deploying containerized solutions, and collaborating with autonomy and customer teams. Experience with sensor physics, ML training/deployment, and Linux/Docker is required. | Post-trainServe | 8 |
| ML Perception Software Engineer ML Perception Software Engineer for autonomous vehicles/robots, focusing on building perception modules, world representations, and ML/CV algorithms for self-driving vehicles. Involves training, testing, and deploying algorithms from data collection to production. | Post-train |
| 8 |
| Perception & Fusion Engineer Develops, integrates, and deploys real-time AI/ML algorithms for perception and sensor fusion on autonomous vehicles for defense applications. Focuses on integrating various sensor modalities and deploying ML models onto embedded systems. | Post-trainServe | 7 |
| Robotic Software Engineer, Perception Robotic Software Engineer focused on developing, integrating, and maintaining real-time AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for various sensors, collaborating with autonomy teams, deploying solutions to embedded systems, and interacting with customers for use case understanding and issue triage. | Post-train | 7 |
| Senior Neural Rendering Software Engineer Senior Neural Rendering Software Engineer to own end-to-end development and optimization of neural rendering systems, including 3D Gaussian-based representations and other learned scene representations, across multiple products and sensor modalities. Design and scale GPU pipelines using CUDA for neural scene training, inference, and real-time rasterization. Architect and optimize multi-threaded C++ systems for scene management, streaming, scheduling, and CPU-side orchestration of neural and hybrid rendering workloads. Research, prototype, and productionize state-of-the-art neural rendering and reconstruction techniques. | Post-trainServe | 7 |