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 Software Engineer - Perception Senior Software Engineer focused on building the perception system for L4 autonomous trucks. This involves developing and deploying state-of-the-art machine learning models for multi-modal 3D detection, BEV representations, and learned tracking, combined with classical perception techniques like state estimation and sensor fusion. The role requires end-to-end ownership from model architecture and training to onboard deployment and validation, within a safety-critical context. | AgentData | 8 |
| Sensor Sim - ML Engineer This role involves applying machine learning techniques, including generative models and agentic systems, to production-grade sensor simulation for autonomous systems in industries like automotive and defense. The engineer will work on modeling worlds and sensors (Lidar, Radar, Camera) and drive the development and deployment of these ML approaches. |
| Agent |
| 8 |
| Software Engineer - AI Engineering AI Engineer role focused on building shared AI infrastructure, agent frameworks, and tooling for internal and external products. The role involves designing, shipping, and serving agentic systems, acting as a GenAI/LLM expert, and working directly with customers. It's a 0-to-1 opportunity with potential for significant impact and scaling. | AgentServe | 8 |
| Senior Autonomy Engineer Senior Autonomy Engineer role focused on designing, developing, and verifying high-performance autonomy solutions for the defense industry. This involves writing perception and planning algorithms, optimizing performance, developing system architectures, and mentoring junior engineers. The role requires experience with the end-to-end development cycle of deep learning models and production software, with expertise in subdomains like modeling, input pipelines, evaluation, deployment, and model optimization. | AgentServe | 8 |
| Machine Learning Software Engineer Machine Learning Software Engineer for autonomous vehicles or mobile robots, focusing on perception, prediction, or planning. The role involves building ML capabilities, designing and implementing systems, and leveraging existing infrastructure. Requires experience in the end-to-end development cycle of deep learning models, production software development, and ML/DL perception algorithms for autonomous vehicles. | AgentServe | 8 |
| Software Engineer - Prediction and Behavior ML Software Engineer role focused on developing ML-first behavior prediction and planning modules for autonomous systems, forecasting road user motions and interactions. The role involves prototyping, evaluating, and deploying ML algorithms, leveraging existing infrastructure, and collaborating with perception and planning teams. Requires experience in end-to-end deep learning model development and production software practices. | Agent | 8 |
| LVC Simulation Integration Engineer This role focuses on integrating live, virtual, and constructive (LVC) simulation solutions for testing and training multi-agent autonomy software in the defense sector. The engineer will design LVC architectures, write interface code, and collaborate with cross-functional teams to develop simulation scenarios and adapters for Tactical AI agents. | Agent | 7 |
| Perception & Fusion Engineer Develops, integrates, and maintains real-time sensor software solutions for autonomous vehicles, focusing on sensor fusion algorithms and ML model deployment. Works with various sensor modalities and collaborates with autonomy and tracking teams. | AgentData | 7 |
| Senior C++ Software Engineer (Collaborative Autonomy) Senior C++ Software Engineer for a defense company's autonomous behaviors and agents team, focusing on next-generation human-machine teaming and real-time decision-making systems. The role involves designing and implementing advanced algorithms for multi-agent optimization, temporal logic frameworks, and sequential decision processes under uncertainty to build intelligent agents that plan and execute missions. | Agent | 7 |
| Senior C++ Software Engineer (Collaborative Autonomy) Senior C++ Software Engineer role focused on designing and implementing advanced algorithms for multi-agent systems and real-time decision-making platforms in the defense industry. The role involves building intelligent agents that plan and execute missions using reasoning, planning, and optimization algorithms, supporting human-machine teaming across various domains. | Agent | 7 |
| Senior C++ Software Engineer (Defense Autonomy) Senior C++ Software Engineer for a defense autonomy company, focusing on designing and implementing algorithms for multi-agent systems, real-time decision-making, and autonomous coordination. The role involves building intelligent agents for mission planning and execution, with a strong emphasis on algorithmic optimization and computational challenges in heterogeneous platforms. | Agent | 7 |
| Robotic Software Engineer, Perception Robotic Software Engineer focused on developing and integrating AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for sensors, deploying solutions to embedded systems, and collaborating with autonomy and customer teams. Experience with sensor modalities, ML algorithm deployment, and Linux/Docker is required. | Agent | 7 |
| Perception & Fusion Engineer The role focuses on developing and integrating real-time sensor software, including AI/ML algorithms for perception and fusion, to support autonomous vehicles and systems, particularly for defense applications. This involves designing and implementing sensor fusion algorithms, creating autonomous sensor controllers, and deploying solutions on embedded systems. The role also requires collaboration with various teams, customer interaction, and utilizing simulation tooling for analysis and improvement. | AgentData | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on integrating and deploying autonomy systems for physical AI applications in vehicles, involving robotics, sensors, and inter-agent communications. Requires hands-on field testing and integration with hardware and simulation. | Agent | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on developing, deploying, and maintaining the core systems for all-domain autonomy capabilities in self-driving vehicles. This involves integrating software with robotics, sensors, and vehicle autopilots, working with perception and autonomy modules, and ensuring inter-vehicle communication. The role requires hands-on fieldwork for deployment and testing in real-world environments, leveraging simulation, and integrating third-party software. Experience with multi-agent autonomy systems and robotic systems is essential. | Agent | 7 |
| Software Engineer - Autonomy Software Engineer on the Autonomy team responsible for real-time onboard software modules for self-driving trucks, including perception, sensor fusion, planning, control, and safety. The role involves optimizing performance, implementing safety-critical patterns, and productionizing research algorithms into C++ deployments. | AgentServe | 7 |
| Defense Autonomy Engineer Develops collaborative autonomy behaviors for heterogeneous autonomous vehicles across different domains and sensor suites to accomplish complex missions. Designs and develops multi-agent multi-domain behavioral autonomy algorithms, integrates tactical autonomy solutions, deploys containerized solutions, and troubleshoots complex issues. | Agent | 7 |
| Lead Software Engineer - Autonomy/Physical AI Lead Software Engineer role focused on building backend C++ systems for physical AI and autonomy products in the defense sector. The role involves architecting, implementing, and owning high-performance infrastructure for autonomous operations in challenging environments, with a focus on shipping code and direct impact on national security. | Agent | 7 |
| C++ Software Engineer - Autonomy/Physical AI Backend C++ Software Engineer for defense autonomy products, focusing on building foundational systems for multi-domain autonomous operations at the edge. The role involves architecting, implementing, and owning high-performance backend infrastructure for autonomous systems operating in challenging environments. | Agent | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on integrating and deploying autonomy systems for physical AI applications in robotics, automotive, and defense. The role involves developing, testing, and maintaining software for autonomous vehicles, including sensor integration, perception pipelines, inter-vehicle communication, and simulation. Requires strong programming skills in Python/C++, experience with robotic systems, and CI/CD. | Agent | 7 |
| Senior C++ Software Engineer (Defense Autonomy) Senior C++ Software Engineer for a defense autonomy company, focusing on designing and implementing algorithms for multi-agent systems, real-time decision-making, and autonomous coordination. The role involves building intelligent agents for mission planning and execution, requiring strong C++ skills and experience with constraint satisfaction, scheduling, and optimization algorithms. | Agent | 7 |
| Software Engineer - Insights Platform Software Engineer for the Insights Platform team, focusing on building the data and analytics layer for physical AI development tooling. The role involves end-to-end ownership of systems for data ingestion, query infrastructure, dataset management, and agentic analytics, supporting autonomous vehicle programs. | AgentData | 7 |
| Software Engineer - Perception (Fallback Stack) Software Engineer role focused on building perception capabilities for autonomous vehicles within a simulation engine. The role involves designing and implementing perception and uncertainty signals to gate fallback behaviors, ensuring safe operation and ODD expansion. Experience with ML for uncertainty estimation, confidence calibration, or OOD detection is required, along with production-grade software practices in C++ and/or Python. | Agent | 7 |
| Software Architect - Fallback Stack Software Architect role focused on the L4 trucking fallback stack, defining its architecture, minimal risk maneuvers, and transitions to remote assistance. Requires experience in L4 autonomous driving systems and C++ programming. | Agent | 7 |
| Senior Software Engineer - Fallback Stack Software architect role focused on defining and implementing the fallback stack for L4 trucking autonomous driving systems. This involves designing strategies for degraded driving, minimal risk maneuvers, and transitions to remote assistance, as well as architecting interfaces between the vehicle stack and remote assistance platforms. Requires strong C++ and experience in autonomy software for L4 systems. | Agent | 7 |
| Engineering Manager - Behavior Engineering Manager for SDS Behavior team, leading a team to build and deploy scalable behavior systems for autonomous vehicles (cars, trucks, etc.). Owns architecture and delivery of next-generation behavior planning systems for L2 and L4 autonomous vehicles, focusing on complex environments and diverse ODDs. Involves driving architectural and business decisions, customer partnerships, team mentoring, and owning a significant portion of the autonomy stack. | AgentPost-train | 7 |
| Robotic Software Engineer (Drone Stack) Robotic Software Engineer focused on designing, integrating, and deploying autonomy and vehicle intelligence systems for defense and commercial customers, particularly on unmanned aerial vehicles (UAVs). The role involves significant hardware-software integration, troubleshooting, and testing in simulated and live environments. | AgentServe | 7 |