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 |
|---|---|---|
| Robotics Engineer, Technical Lead Founding technical role to build and shape Applied Intuition's robotics organization. Define technical direction, write production code, and build functional demos on physical hardware. Focus on software and learned behaviors, with engagement across the hardware stack. Responsibilities include defining architecture, writing production code (Python/C++), training/evaluating/deploying learning-based policies for manipulation and locomotion, building hardware demos, establishing simulation infrastructure, analyzing telemetry, and working with data pipelines to close the sim-to-real gap. | ShipPost-train | 8 |
| Engineering Manager - ML, Self-Driving Systems Engineering Manager to lead ML teams in developing and deploying production-grade autonomous driving systems. The role involves setting technical direction, managing training and iteration cycles, working with customers, owning ML pipelines, and overseeing the full model lifecycle from prototype to embedded deployment. Requires experience in deep learning, managing technical teams, building ML training pipelines, and deploying models to edge hardware. |
| ShipData |
| 8 |
| Technical Lead Manager - Perception, Self-Driving Systems Technical Lead Manager for Perception, Self-Driving Systems, responsible for the end-to-end ownership of a core perception model that generalizes across various vehicles, sensors, and environments. The role involves leading a team to train, evaluate, and deploy this production-grade model, with a focus on camera-first strategies and on-vehicle performance, including optimizations for embedded hardware. | ShipPost-train | 8 |
| Robotics Engineer Robotics Engineer role focused on building general-purpose robots, working across the full stack from low-level controls to fleet deployment. The role involves designing, implementing, and tuning core robotics software, integrating hardware and software subsystems, and debugging failures on physical robots. Emphasis on C++ development, real-time systems, and robotics fundamentals, with a nice-to-have for ML/RL experience. | Ship | 7 |
| C++ Software Engineer (Autonomous Systems) Software Engineer role focused on developing, deploying, and maintaining the core systems for autonomous vehicles, including inter-agent communications, hardware interfaces, and sensor integration. The role involves hands-on fieldwork, testing, and deployment in real-world environments, as well as leveraging simulation. It requires strong C++ proficiency and experience with robotic systems, sensors, and autopilots. | ShipAgent | 7 |
| Technical Lead, Mining Autonomy Platform Tech Lead for the Mining Autonomy Platform, focusing on the foundational platform for autonomous mining vehicles. This role involves low-level vehicle controls, system identification, and building the software platform for health monitoring, diagnostics, telemetry, networking, and deployment. It spans 0->1 bring-up and building for production scale, integrating shared capabilities for mining environments and upholding engineering standards for reliability and safety. | ShipServe | 5 |